Insight_s from Train _ Test Accuracy.mp4

Insight_s from Train _ Test Accuracy.mp4

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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