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Cohort 123 - Da/Ds/GenAi - VS
Course content
38 sections | 71 lessons
Expand all sections
Link, Passcode & Updates Section
1 Lessons
20 April - Basics Of Python
2 Lessons
Installation of Python
2 Lessons
Introduction to Python
2 Lessons
Basic Datatypes
2 Lessons
Control Statements
2 Lessons
Loops
2 Lessons
Loops Continued
1 Lessons
Loops, Datatypes
2 Lessons
Datatypes
2 Lessons
Datatypes , Functions
2 Lessons
Functions
2 Lessons
Classes, Modules
2 Lessons
Introduction to Data 1, Introduction to Data 2
2 Lessons
Measures of Dispersion, Normal Distribution, Outliers, Skewness
2 Lessons
Correlation, Inferential Statistics
2 Lessons
Chi Square test, ANOVA, Cohort 123 - Numpy -
2 Lessons
Numpy Continued
2 Lessons
Pandas
2 Lessons
Pandas Operations
2 Lessons
Pandas Operations Continued
2 Lessons
Matplotlib
2 Lessons
Seaborn
2 Lessons
Introduction to Data, Introduction to Data 2, Normal Distribution, Outliers, Skewness
1 Lessons
Measures of Dispersion, Inferential Statistics, Chi Square, ANOVA
1 Lessons
EDA1, EDA2, Feature Engineering +Scaling, Feature Selection, Correlation,
2 Lessons
EDA 1,2 Diabetes, car prediction data
2 Lessons
Used Cases EDA on Diabetes Dataset, Titanic Dataset, Sample Superstore Dataset., Imbalanced Data
2 Lessons
Introduction to Machine Learning; Supervised , Unsupervised Learning, Linear Regression Intro
2 Lessons
Simple Linear Regression
3 Lessons
Evaluation Metrics Regression
2 Lessons
LInear Regression Intro, Bias Variance Trade Off, Lasso Ridge, Cross Validation
2 Lessons
Files
1 Lessons
NumPy
2 Lessons
Pandas
2 Lessons
Advanced Pandas and Basics of Visualization
2 Lessons
Matplotlib and Seaborn
2 Lessons
13th September
1 Lessons
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