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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

Preview - Data Analytics Live Course