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Recordings
Introduction to Data Analytics
Introduction to Anaconda and Jupiter and How to install Anaconda
Introduction to Python
Introduction to Python (followed by Project 2)
EDA using the Numpy library
EDA using the Pandas library
EDA using Matplotlib (Plotting graphs)
EDA using Seaborn Final Project
Final Project
Industry Experience + Doubts
Industry Experience + Doubts (2)
Technical Interview Training
Introduction to Data Analytics
Introduction to Python (followed by Project 1)
Introduction to Python (followed by Project 2)
EDA using the Numpy library
EDA using the Pandas library
EDA using Matplotlib (Plotting graphs)
EDA using Seaborn Final Project
Final Project
Industry Experience + Doubts
Technical Interview Training
Assessment
Study Material
_LinearRegression (1)
4. TF-IDF-35
Avg w2v and tf-idf wt w2v
Bag Of Words-19
Churn_Prediction_Logistic_Regression-62
Data Structure - List,List Project and Tuple-52
Data Structure Dictionary-47
Data Structure sets-43
EDA by using Sns
EDA- Descriptive Analysis
Implementation of operation in python-26
Implementing Conditional Statement-29
Implementing function in python-32
Implementing variable in python-20
KPI for Classification-108
Loan app py-32
Loan predictor model py-32
Logistic_regression_Notebook-76
Looping_Constructs_final-13
Novel Corona Virus Data Analysis - India-01
Play Tennis Implementation Using Sklearn Decision Tree Algorithm-73
Requirements
Spotify Music recommender-01
String Manipulation-38
style css-29
WOrd 2 vec-34