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Data Understanding & Data Pre-Processing

1. Introduction to Data Science.mp4
2. Installation of R _ R Studio.mp4
3. Basics of R Studio.mp4
4. Data Visualization.mp4
5. Data Modelling.mp4
6. Data Joining.mp4
7. Data Visualization with ggplot2.mp4
8. Data Preparation.mp4
9. Data Cleaning with RegExp.mp4
Company Casestudy_ Data Visualization.mp4
Installation & Basics of Python.mp4
Script Files.zip
Project.zip
PYTHON

Lecture-1.mp4
Lecture-2.mp4
Lecture-3.mp4
Python basics day-1 (Intro to Python) (1).ipynb
Python basics day -2 (1).ipynb
Lecture-4.mp4
Lecture-5.mp4
Lecture-6.mp4
Python Basics Day - 4-TUPLES.ipynb
Python Basics Day- 3 - LIST (1).ipynb
Lecture-7.mp4
python Basics Day - 4 - SETS.ipynb
Lecture-8.mp4
python-data-structures-05-STRINGS.ipynb
python-Basics Day - 5 - DICT.ipynb
Lecture-9.mp4
assignment_on_loops.txt
Lecture-10.mp4
Lecture-11.mp4
Python Basics Day - 6 (operators).ipynb
Python Basics Day - 6 - (Conditional - loops).ipynb
python-Basics Day -7-functions (part-1).ipynb
Python Basics Day- 7 functions (part 2) .ipynb
Lecture-12.mp4
Python Basics Day - 8 (Lambda function) - Copy.ipynb
Python Basics Day - 9 (Escape sequence).ipynb
Lecture-13.mp4
MySQL

1. Introduction to MySQL.mp4
2. Creating DataBases in MySQL.mp4
3. Deep Dive into MySQL Interface.mp4
4. Queries in MySQL.mp4
5. Clauses in MYSQL.mp4
MySQL MCQ.docx
6. Clauses in MySQL -2.mp4
POWER BI

Day 1 (PBI).mp4
Day 2 ((PBI)).mp4
Day 3 ((PBI)).mp4
Day-4 (PBI).mp4
Day-5 ((PBI)).mp4
Introduction to Machine Learning

Supervised vs Unsupervised.mp4
Fundamentals of ML Part-1.mp4
Fundamentals of Machine Learning Part-2.mp4
Insight_s from Train _ Test Accuracy.mp4
Linear Regression Math

1. Linear Regression Overview.mp4
2. Supervised _ Unsupervised Learning.mp4
3. Linear Regression Deep Dive.mp4
4. Linear Regression Evalution Metrics.mp4
5. Hypothesis Testing.mp4
5.1. Hypothesis Testing.mp4
6. Project on Linear Regression.mp4
7. How to Improve Model Accuracy.mp4
8. Lasso _ Ridge Regression.mp4
Files used in Videos.zip
Data Mining.pptx
Logistic Regression Math

1. Introduction to Logistic Regression.mp4
2. Logistic Regression Maths.mp4
3. Logistic Regression_Evaluation Metrics.mp4
4. ROC _ AUC Curve.mp4
Decision Tree & Ensembling Math

1. Decision Tree Maths Deep Dive.mp4
2. Random Forest Maths.mp4
3.Introduction to Gradient Boosting.mp4
KNN Algorithm

1. Introduction to KNN.mp4
2. KNN Math.mp4
3. KNN Algorithm CaseStudy-1.mp4
Support Vector Math

1. SVM Deep Dive.mp4
Artificial Neural Networks

1. Introduction to Neural Networks.mp4
2. Neural Network Architecture.mp4
4. Different Activation Functions.mp4
Time Series Math

1. Introduction to Time Series Modelling.mp4
2. Time Series Modelling - 2.mp4
4. Time Series Modelling Techniques.mp4
3. Characteristics of Time Series Modelling.mp4
Text Mining with NLP

1. Introduction to Text Mining.mp4
2. NLP Processing Deep Dive.mp4
3. Language Identification using R.mp4
4. Phrase Extraction .mp4
End-to-End Machine Learning Model Deployment

Machine Learning End-to-End Project_ Business Case, Data Collection & Understanding, Build & Deploy.mp4

Python Basics Day - 8 (Lambda function) - Copy.ipynb

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