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(1) Data Science - Machine Learning
Introduction to Python for Data Science & Numpy
Introduction to Python for Data Science (38:33)
Numpy Part 1 (30:22)
Numpy Part 2 (23:31)
Pandas
Pandas Part 1 (33:48)
Pandas Part 2 (39:43)
Pandas Part 3 (39:50)
Seaborn & matplotlib
Seaborn (38:03)
Matplotlib Part 1 (41:18)
Matplotlib Part 2 (31:45)
Matplotlib Part 3 (12:41)
Business_Statistics
Business Statistics - Part 1 (26:23)
Business Statistics - Part 2 (32:43)
Business Statistics - Part 3 (18:48)
DataCleaning Preprocessing
DataCleaning Preprocessing - Part 1 (32:01)
DataCleaning Preprocessing - Part 2 (32:28)
DataCleaning Preprocessing - Part 3 (34:29)
EDA CaseStudy
EDA CaseStudy - Part 1 (29:04)
EDA CaseStudy - Part 2 (33:10)
EDA CaseStudy - Part 3 (43:40)
DA CaseStudy - Part 4 (38:07)
EDA CaseStudy - Part 5 (43:01)
Linear Regression, Logistic Regression, DecisionTrees, Ensemble
DecisionTrees - Part 2 (92:14)
Ensemble - Part 2 (69:33)
Linear Regression Part 1 (41:03)
Logistic Regression Part 2 (119:48)
Ensemble - Part 1 (40:18)
DecisionTrees - Part 1 (24:32)
Kmeans & Hierarchial
Kmeans (104:47)
Hierarchial (70:53)
Case Study
Case_Study-001 (74:38)
Case_Study-002 (65:47)
Hierarchial
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