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种子名称： 2021 Python for Machine Learning & Data Science Masterclass
文件类型： 视频
文件数目： 167个文件
文件大小： 10.35 GB
收录时间： 2021-4-21 06:42
已经下载： 3次
资源热度： 101
最近下载： 2024-6-25 13:39

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2021 Python for Machine Learning & Data Science Masterclass.torrent

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/29. Pandas Project Exercise Solutions.mp4181.6MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/16. Logistic Regression Project Exercise - Solutions.mp4168.39MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4143.96MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/3. Dealing with Outliers.mp4141.01MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/7. Coding Classification with Random Forest Classifier - Part Two.mp4139.04MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/8. Coding Decision Trees - Part Two -Creating the Model.mp4136.35MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/27. Pandas Pivot Tables.mp4128.74MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4128.61MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/5. Dealing with Missing Data Part Two - Filling or Dropping data based on Rows.mp4125.24MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4123.11MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/6. Dealing with Missing Data Part 3 - Fixing data based on Columns.mp4122.78MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4116.95MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/7. Coding Decision Trees - Part One - The Data.mp4115.13MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/5. DataFrames - Part One - Creating a DataFrame.mp4114.08MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/4. KNN Coding with Python - Part Two - Choosing K.mp4112.37MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4111.24MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4111.05MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/14. Multi-Class Classification with Logistic Regression - Part Two - Model.mp4110.96MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4110.6MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/6. KNN Classification Project Exercise Solutions.mp4109.73MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/4. NumPy/2. NumPy Arrays.mp4109.63MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/15. Support Vector Machines/10. Support Vector Machine Project Solutions.mp4108.85MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/24. Pandas Input and Output - HTML Tables.mp4106.65MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/16. GroupBy Operations - Part Two - MultiIndex.mp4105.86MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/26. Pandas Input and Output - SQL Databases.mp4103.19MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/22. Pandas - Time Methods for Date and Time Data.mp4101.92MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4100MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/15. Support Vector Machines/8. SVM with Scikit-Learn and Python - Regression Tasks.mp499.27MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp498.75MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/11. Pandas - Useful Methods - Apply on Multiple Columns.mp498.55MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/14. Missing Data - Pandas Operations.mp497.86MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/8. DataFrames - Part Four - Working with Rows.mp496.72MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/15. Support Vector Machines/7. SVM with Scikit-Learn and Python - Classification Part Two.mp496.6MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/23. L2 Regularization - Ridge Regression - Python Implementation.mp496.42MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/6. Matplotlib - Subplots Functionality.mp496.18MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/12. Cross Validation , Grid Search, and the Linear Regression Project/8. Linear Regression Project - Solutions.mp495.84MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/15. Support Vector Machines/5. SVM - Theory and Intuition - Kernel Trick and Mathematics.mp493.86MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/25. L1 and L2 Regularization - Elastic Net.mp493.41MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/1. Capstone Project Overview.mp493.2MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/15. GroupBy Operations - Part One.mp493.11MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/6. Python coding Simple Linear Regression.mp491.92MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/11. Seaborn Grid Plots.mp491.62MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/9. Pandas - Conditional Filtering.mp490.05MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/9. Coding Regression with Random Forest Regressor - Part Two - Basic Models.mp489.73MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/7. DataFrames - Part Three - Working with Columns.mp489.3MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/11. Linear Regression - Model Deployment and Coefficient Interpretation.mp488.19MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/3. Linear Regression - Understanding Ordinary Least Squares.mp486.26MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/12. Pandas - Useful Methods - Statistical Information and Sorting.mp485.65MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/3. KNN Coding with Python - Part One.mp483.24MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/8. Linear Regression - Scikit-Learn Train Test Split.mp482.93MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/8. Matplotlib Styling - Colors and Styles.mp481.19MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/7. Dealing with Categorical Data - Encoding Options.mp478.74MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/12. Cross Validation , Grid Search, and the Linear Regression Project/6. Grid Search.mp478.11MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/2. Introduction to Feature Engineering and Data Preparation.mp478.11MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/4. Distribution Plots - Part Two - Coding with Seaborn.mp477.74MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/12. Cross Validation , Grid Search, and the Linear Regression Project/3. Cross Validation - Test Validation Train Split.mp477.29MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/6. Logistic Regression - Theory and Intuition - Best fit with Maximum Likelihood.mp476.83MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/5. Logistic Regression - Theory and Intuition - Linear to Logistic Math.mp475.82MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/21. Pandas - Text Methods for String Data.mp475.69MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/12. Logistic Regression with Scikit-Learn - Part Three - Performance Evaluation.mp474.21MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/7. Logistic Regression with Scikit-Learn - Part One - EDA.mp473.22MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/9. Linear Regression - Scikit-Learn Performance Evaluation - Regression.mp473.16MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/10. Pandas - Useful Methods - Apply on Single Column.mp473.05MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/16. Polynomial Regression - Choosing Degree of Polynomial.mp472.93MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/9. Machine Learning Concepts Overview/4. Supervised Machine Learning Process.mp471.42MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/12. Seaborn - Matrix Plots.mp471.25MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/10. Seaborn - Comparison Plots - Coding with Seaborn.mp470.16MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/6. Coding Classification with Random Forest Classifier - Part One.mp468.49MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/15. Support Vector Machines/3. SVM - Theory and Intuition - Hyperplanes and Margins.mp466.78MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/5. Linear Regression - Gradient Descent.mp465.04MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/5. Random Forests - Bootstrapping and Out-of-Bag Error.mp463.32MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/15. Support Vector Machines/6. SVM with Scikit-Learn and Python - Classification Part One.mp462.71MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/20. Introduction to Cross Validation.mp462.58MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/7. Categorical Plots - Distributions within Categories - Understanding Plot Types.mp461.09MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/22. L2 Regularization - Ridge Regression Theory.mp461.09MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/4. Random Forests - Number of Estimators and Features in Subsets.mp460.9MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/12. Cross Validation , Grid Search, and the Linear Regression Project/2. Cross Validation - Test Train Split.mp460.46MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/10. Coding Regression with Random Forest Regressor - Part Three - Polynomials.mp460.02MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/10. Linear Regression - Residual Plots.mp459.52MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/4. Matplotlib - Implementing Figures and Axes.mp459.09MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/11. Coding Regression with Random Forest Regressor - Part Four - Advanced Models.mp459.02MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/12. Cross Validation , Grid Search, and the Linear Regression Project/4. Cross Validation - cross_val_score.mp457.73MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/4. Dealing with Missing Data Part One - Evaluation of Missing Data.mp456.66MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/6. Categorical Plots - Statistics within Categories - Coding with Seaborn.mp454.99MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/2. Linear Regression - Algorithm History.mp454.71MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/19. Feature Scaling.mp453.97MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/6. DataFrames - Part Two - Basic Properties.mp453.9MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/2. Matplotlib Basics.mp453.61MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/18. Combining DataFrames - Inner Merge.mp453.61MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/13. Missing Data - Overview.mp453.18MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/13. Polynomial Regression - Creating Polynomial Features.mp452.62MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/6. Constructing Decision Trees with Gini Impurity - Part Two.mp452.15MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/2. Decision Tree - History.mp451.89MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/10. Matplotlib Exercise Questions Overview.mp450.78MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/17. Combining DataFrames - Concatenation.mp450.51MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/2. KNN Classification - Theory and Intuition.mp450.19MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/13. Seaborn Plot Exercises Overview.mp449.91MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/23. Pandas Input and Output - CSV Files.mp449.87MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/1. Introduction to Course/5. Environment Setup.mp449.32MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/14. Polynomial Regression - Training and Evaluation.mp448.87MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/4. NumPy/6. NumPy Operations.mp448.59MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/4. NumPy/9. Numpy Exercises - Solutions.mp448.57MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/12. Cross Validation , Grid Search, and the Linear Regression Project/5. Cross Validation - cross_validate.mp447.61MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/9. Classification Metrics - Confusion Matrix and Accuracy.mp446.99MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/4. NumPy/4. NumPy Indexing and Selection.mp446.35MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/7. Overview of Scikit-Learn and Python.mp445.61MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/4. Series - Part Two.mp445.3MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/2. Random Forests - History and Motivation.mp444.91MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/9. Machine Learning Concepts Overview/2. Why Machine Learning.mp444.77MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/12. Polynomial Regression - Theory and Motivation.mp444.24MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/13. Multi-Class Classification with Logistic Regression - Part One - Data and EDA.mp444.03MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/15. Bias Variance Trade-Off.mp443.04MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/28. Pandas Project Exercise Overview.mp441.07MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/3. Machine Learning Pathway Overview/1. Machine Learning Pathway.mp440.54MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/15. Support Vector Machines/9. Support Vector Machine Project Overview.mp440.46MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/9. Advanced Matplotlib Commands (Optional).mp440.44MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/20. Combining DataFrames - Outer Merge.mp439.89MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/26. Linear Regression Project - Data Overview.mp439.07MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/9. Machine Learning Concepts Overview/3. Types of Machine Learning Algorithms.mp438.68MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/2. Series - Part One.mp438.47MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/5. Constructing Decision Trees with Gini Impurity - Part One.mp438.32MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/4. Linear Regression - Cost Functions.mp436.02MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/15. Logistic Regression Exercise Project Overview.mp435.8MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/4. Decision Tree - Understanding Gini Impurity.mp435.66MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/8. Logistic Regression with Scikit-Learn - Part Two - Model Training.mp435.26MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/25. Pandas Input and Output - Excel Files.mp434.58MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/21. Regularization Data Setup.mp434.44MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/11. Classification Metrics - ROC Curves.mp434.29MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/3. Logistic Regression - Theory and Intuition - Part One The Logistic Function.mp434.17MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/7. Matplotlib Styling - Legends.mp434.1MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/18. Regularization Overview.mp433.34MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/10. Classification Metrics - Precison, Recall, F1-Score.mp433.06MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/3. Distribution Plots - Part One - Understanding Plot Types.mp432.05MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/2. Introduction to Logistic Regression Section.mp431.68MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/15. Support Vector Machines/2. History of Support Vector Machines.mp431.42MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/5. KNN Classification Project Exercise Overview.mp431.18MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/9. Machine Learning Concepts Overview/1. Introduction to Machine Learning Overview Section.mp429.73MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/2. OPTIONAL Python Crash Course/2. Python Crash Course - Part One.mp429.52MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/17. Polynomial Regression - Model Deployment.mp428.94MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/19. Combining DataFrames - Left and Right Merge.mp427.9MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/8. Coding Regression with Random Forest Regressor - Part One - Data.mp427.61MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/12. Cross Validation , Grid Search, and the Linear Regression Project/7. Linear Regression Project Overview.mp427.48MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/15. Support Vector Machines/4. SVM - Theory and Intuition - Kernel Intuition.mp426.26MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/3. Matplotlib - Understanding the Figure Object.mp425.81MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/2. OPTIONAL Python Crash Course/6. Python Crash Course - Exercise Solutions.mp425.1MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/1. Introduction to Course/2. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp424.55MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/4. Logistic Regression - Theory and Intuition - Part Two Linear to Logistic.mp424.37MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/5. Matplotlib - Figure Parameters.mp423.75MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/9. Seaborn - Comparison Plots - Understanding the Plot Types.mp423.35MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/2. OPTIONAL Python Crash Course/4. Python Crash Course - Part Three.mp423.17MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/2. OPTIONAL Python Crash Course/3. Python Crash Course - Part Two.mp422.25MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/5. Categorical Plots - Statistics within Categories - Understanding Plot Types.mp421.86MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/1. Introduction to Matplotlib.mp421.57MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/1. Introduction to Pandas.mp421.01MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/12. Cross Validation , Grid Search, and the Linear Regression Project/1. Section Overview and Introduction.mp420.53MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/1. Introduction to Seaborn.mp420MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/9. Machine Learning Concepts Overview/5. Companion Book - Introduction to Statistical Learning.mp419.29MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/3. Random Forests - Key Hyperparameters.mp419.13MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/3. Decision Tree - Terminology.mp415.06MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/4. NumPy/8. NumPy Exercises.mp411.52MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/1. Introduction to KNN Section.mp411.41MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/4. NumPy/1. Introduction to NumPy.mp411.28MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/1. Introduction to Random Forests Section.mp49.49MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/15. Support Vector Machines/1. Introduction to Support Vector Machines.mp49.39MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/10. Linear Regression/1. Introduction to Linear Regression Section.mp48.87MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/1. Introduction to Tree Based Methods.mp47.43MB

[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/2. OPTIONAL Python Crash Course/5. Python Crash Course - Exercise Questions.mp45.01MB