-
-
Introduction to Python and its basics 03 hourLecture1.1
-
Data Analysis in Python – Numpy and Pandas 03 hourLecture1.2
-
Data Visualization in Python – Matplotlib and Seaborn 03 hourLecture1.3
-
Introduction to Machine Learning and Linear Regression 03 hourLecture1.4
-
Logistic Regression 03 hourLecture1.5
-
K Nearest Neighbors 03 hourLecture1.6
-
Decision Trees and Random Forests 03 hourLecture1.7
-
Support Vector Machines 03 hourLecture1.8
-
K Means Clustering 03 hourLecture1.9
-
Principal Component Analysis 03 hourLecture1.10
-
Recommender Systems 03 hourLecture1.11
-
Natural Language Processing 03 hourLecture1.12
-
Big Data and Spark with Python 03 hourLecture1.13
-
Neural Nets and Deep Learning and Capstone Project 03 hourLecture1.14
-
Visual Analytics with Tableau 03 hourLecture1.15
-
Dashboards and Story points in Advance Tableau 03 hourLecture1.16
-
