Tutors

Innomatics Research Labs

PROGRAM OVERVIEW

CURRICULUM

  Assignments

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  Projects

  • NLP Project
  • ML - concrete strength prediction Submissions

  Machine Learning

  • Over View of Machine Learning n AI
  • Math Behind ML
  • Machine Learning types example and Challenges
  • Data Preparation and Modeling with Sklearn library
  • Data Preparation and Modeling with Sklearn library Lab - II
  • GitHub
  • NLP Basics
  • NLP basics Labs
  • NLP Lab - II
  • NLP Lab Files
  • Working on Text File
  • NLP Project Discussion
  • Data Preparation and Modelling with sklearn Lab Files
  • Diamonds dataset
  • Linear Regression Part - 1
  • Linear and Gradient Regression - Part 2
  • Multiple Linear Regression Lab
  • Miltiple Regression Lab - II
  • Logistic Regression and Classification Metrics
  • Logistic Regression Lab
  • Linear Regression Lab Files
  • Polynomial Regression
  • Gradient Descent
  • _gradientdescent. Files
  • Gradient Descent Lab
  • K NN
  • Logistic Lab
  • Logistic Regression Lab - II
  • Bayes Theorem
  • Naive Bayes - II
  • Decision Tree
  • Naive Bayes Lab
  • Decision Tree
  • DT Regressor and SVM
  • SVM
  • Project Discussion
  • Ensemble - I
  • Ensemble - II
  • SVM Files
  • Decision Tree Files
  • Ensemble Learning - III Lab
  • Ensemble Lab - II
  • Unsupervised Learning - Clustering
  • Clustering - II
  • Clustering Lab
  • Interview Topics
  • PCA