Course content 149 Lessons Overall Duration : 22:29:34 Course Introduction 3 Lessons Duration : 07:15 Environment Set-Up 1 Lesson Duration : 11:14 Jupyter Overview 3 Lessons Duration : 23:48 Python Crash Course 8 Lessons Duration : 01:24:13 Python for Data Analysis - NumPy 8 Lessons Duration : 01:03:43 Python for Data Analysis - Pandas 11 Lessons Duration : 01:42:36 Python for Data Analysis - Pandas Exercises 5 Lessons Duration : 35:06 Python for Data Visualization - Matplotlib 7 Lessons Duration : 01:00:08 Python for Data Visualization - Seaborn 9 Lessons Duration : 01:21:54 Python for Data Visualization - Pandas Built-in Data Visualization 3 Lessons Duration : 23:44 Python for Data Visualization - Plotly and Cufflinks 2 Lessons Duration : 22:00 Python for Data Visualization - Geographical Plotting 5 Lessons Duration : 40:29 Data Capstone Project 9 Lessons Duration : 01:18:35 Introduction to Machine Learning 4 Lessons Duration : 21:04 Linear Regression 6 Lessons Duration : 51:35 Cross Validation and Bias-Variance Trade-Off 1 lecture Duration : 06:25 Logistic Regression 6 Lessons Duration : 01:07:29 K Nearest Neighbors 4 Lessons Duration : 40:42 Decision Trees and Random Forests 5 Lessons Duration : 44:58 Support Vector Machines 4 Lessons Duration : 34:58 K Means Clustering 4 Lessons Duration : 37:21 Principal Component Analysis 2 Lessons Duration : 20:24 Recommender Systems 3 Lessons Duration : 31:10 Natural Language Processing 6 Lessons Duration : 01:18:54 Big Data and Spark with Python 12 Lessons Duration : 01:42:07 Neural Nets and Deep Learning 10 Lessons Duration : 01:23:38 APPENDIX: OLD TENSORFLOW VIDEOS (Version 0.8) 7 Lessons 01:33:33
