[FreeCourseLab.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

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文件数目：471个文件
文件大小：10.48 GB
收录时间：2022-02-25
访问次数：3
相关内容：FreeCourseLab Udemy 2021 Python Machine Learning Data Science Masterclass

文件meta

23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4
208.67 MB
05 Pandas/028 Pandas Project Exercise Solutions.mp4
172.62 MB
13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4
145.55 MB
08 Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4
137.26 MB
17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4
130.38 MB
05 Pandas/026 Pandas Pivot Tables.mp4
128.74 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4
127.96 MB
11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4
120.68 MB
11 Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4
117.6 MB
16 Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4
115.85 MB
23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4
114.83 MB
07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4
111.13 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4
109.1 MB
20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4
108.07 MB
22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4
107.89 MB
08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4
106.21 MB
06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4
105.83 MB
07 Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4
105.67 MB
11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4
105.28 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4
105.09 MB
13 Logistic Regression/014 Multi-Class Classification with Logistic Regression - Part Two - Model.mp4
105.09 MB
14 KNN - K Nearest Neighbors/006 KNN Classification Project Exercise Solutions.mp4
105.05 MB
14 KNN - K Nearest Neighbors/004 KNN Coding with Python - Part Two - Choosing K.mp4
102.92 MB
05 Pandas/023 Pandas Input and Output - HTML Tables.mp4
102.38 MB
08 Data Analysis and Visualization Capstone Project Exercise/002 Capstone Project Solutions - Part One.mp4
101.92 MB
04 NumPy/002 NumPy Arrays.mp4
99.45 MB
16 Tree Based Methods_ Decision Tree Learning/007 Coding Decision Trees - Part One - The Data.mp4
98.73 MB
22 K-Means Clustering/004 K-Means Clustering - Coding Part One.mp4
97.51 MB
05 Pandas/004 DataFrames - Part One - Creating a DataFrame.mp4
97.4 MB
06 Matplotlib/006 Matplotlib - Subplots Functionality.mp4
96.18 MB
05 Pandas/025 Pandas Input and Output - SQL Databases.mp4
96.18 MB
25 PCA - Principal Component Analysis and Manifold Learning/004 PCA - Manual Implementation in Python.mp4
95.14 MB
10 Linear Regression/024 L1 Regularization - Lasso Regression - Background and Implementation.mp4
94.55 MB
15 Support Vector Machines/010 Support Vector Machine Project Solutions.mp4
93.45 MB
08 Data Analysis and Visualization Capstone Project Exercise/001 Capstone Project Overview.mp4
93.2 MB
05 Pandas/015 GroupBy Operations - Part Two - MultiIndex.mp4
93.05 MB
12 Cross Validation , Grid Search, and the Linear Regression Project/008 Linear Regression Project - Solutions.mp4
91.17 MB
10 Linear Regression/023 L2 Regularization - Ridge Regression - Python Implementation.mp4
89.37 MB
07 Seaborn Data Visualizations/011 Seaborn Grid Plots.mp4
86.98 MB
05 Pandas/014 GroupBy Operations - Part One.mp4
86.92 MB
05 Pandas/010 Pandas - Useful Methods - Apply on Multiple Columns.mp4
85.33 MB
17 Random Forests/009 Coding Regression with Random Forest Regressor - Part Two - Basic Models.mp4
84.92 MB
07 Seaborn Data Visualizations/008 Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4
84.59 MB
01 Introduction to Course/003 Anaconda Python and Jupyter Install and Setup.mp4
84.52 MB
05 Pandas/006 DataFrames - Part Three - Working with Columns.mp4
84.07 MB
10 Linear Regression/006 Python coding Simple Linear Regression.mp4
83.88 MB
15 Support Vector Machines/007 SVM with Scikit-Learn and Python - Classification Part Two.mp4
83.18 MB
10 Linear Regression/011 Linear Regression - Model Deployment and Coefficient Interpretation.mp4
81.24 MB
22 K-Means Clustering/005 K-Means Clustering Coding Part Two.mp4
80.63 MB
22 K-Means Clustering/007 K-Means Color Quantization - Part One.mp4
80.36 MB