Tutors

Innomatics Research Labs

PROGRAM OVERVIEW

CURRICULUM

  Course Took Kit (Discord and Mentoring Link)

  • Discord Innomatics Server Community Link
  • Zoom Mentoring Sessions Link
  • Introduction to Data Science and AI

  Python Programming

  • Ananconda Installation for Jupyter notebook IDE and Python
  • Intro to Jupyter notebook and basic programming
  • Logical Operators
  • Basic Programming and Strings File
  • Strings
  • Strings_II
  • List
  • List and tuple File
  • Tuples and Set
  • Dictionary Video
  • Set and Dictionary File
  • Loops and Conditional Statements
  • Loops
  • July 9th & 10th Class Files on Conditional Statement and Loops
  • 16th July List and Dictionary comprehension
  • List Comprehensions Video
  • 17th July Functions File
  • Recursive Function part-I
  • Recursive Function part-II
  • Function video -II
  • Recursive Function part-I
  • Recursive Function part-II
  • Recursive Functions File
  • File Handling File
  • OOPS Files
  • Exception Handling
  • OOPs - I
  • OOPs - II

  Data Analysis - Python

  • Numpy - I Video
  • Numpy - II Video
  • Numpy - III Video
  • Numpy Files
  • Pandas - I Video
  • Pandas video - II
  • Pandas Operations
  • Pandas Adv Operations
  • Pandas Adv Operations File
  • Pandas Exercise
  • regex and web scraping File
  • Missing data and EDA Regex File
  • Missing data and EDA Regex
  • Regex and Web Scraping
  • Recursive Function part-II
  • Recursive Function part-I
  • EDA - Univerate Analysis
  • EDA - Univariate II
  • EDA - Univeriate - III
  • EDA Bivariate - Part 1
  • EDA Bivariate - Part 2
  • EDA - Bivariate - II
  • EDA - Advanced Plots and Multivariate
  • EDA - Univariate Files
  • EDA_Bivariate and Adv charts

  Assignments

  • Variables and Datatypes
  • Strings
  • List and Tuples
  • Sets
  • Dictionary
  • Conditional Statements and Loops
  • Functions
  • SQL Assignments - I
  • SQL Assignments - II

  Projects

  • Project -1 Movie Income Prediction
  • Project - 2 MNIST Handwritten Alphabet Recognition
  • Project - 3 Sentiment Analysis
  • Project - 4 ANN ATM Project
  • Project - 5 OpenCV Haar cascade filter project
  • Project - 6 Rice Classification
  • Project - 7 Language Detection with NLP

  SQL

  • MySQL Workbench Installation Processor
  • MySQL_Installation Processor
  • Intro to SQL
  • DDL and DML Commends
  • Aggregations and groupby
  • SQ L Constrains
  • Joins
  • Advance functions in sql
  • case statement and stored procedures
  • SQL Module Lab Complete Files

  Statistics

  • Data Analysis Code file
  • Descriptive Statistics
  • DESCRIPTIVE STATISTICS - II
  • Probability and Distributions

  Tableau

  • Tableau - 22nd OCt
  • Financial Complaints Dashboard File
  • Consumer Complaints case File
  • Tableau - I introduction to tableau
  • Tableau - II basic plots grouping and sorting
  • Tableau - III filters and advance filters
  • Tableau - IV Table calculation and advance parameters
  • Tableau - V Analytics and Tooltips
  • tableau - VI Dashboard creation and advance graphs
  • Taleau - VII case study
  • Tableau Complete Lab File

  Machine Learning

  • 18th Mar - Intro to ML
  • 25th Mar - Data Preprocessing
  • 26th Mar - Diamond Price Prediction, Maths for ML
  • 19th Mar - Data Science Life Cycle, ML Framework
  • Intro to ML File
  • Data Science Life Cycle File
  • Data_Processing File
  • Diamon_Price File
  • 1st April - KNN Classification, Regression, Metrics Part 1
  • 1st April - KNN Classification, Regression, Metrics Part 2
  • 2nd April - Classification and Regression Metrics, NLP Bag of words, IF-IDF
  • KNN_classification_Regression_ File
  • NLP_ File
  • 9th April - Image Processing using PIL, Case Study-MNIST, car type prediction
  • 8th April - Python Implementation of BoW, TF-IDF, Building Models, Image Processing Basics
  • Image_Processing_ File
  • 15th April - Probability revision, Naive bayes Algorithm derivation, Variations of NB
  • Naive_Bayes_ File
  • 6th May - Decision Tree for classification & Regression-Pruning
  • Decision Tree for classification & Regression-Pruning File
  • 7th May - Linear Regression- SLR, MLR
  • Linear Regression- SLR, MLR File
  • 15th May - Ensemble Techniques
  • 16th May - AdaBoost, GradientBoost
  • 18th May - XGBOOST for regression, Classification, Pruning, Cover, Output Value, Similarity Score.
  • 17th May - Boosting
  • 22nd May - Catboost-2, LightGBM
  • 23rd May - Feature Engineering (Why Feature Engineering, Different ways etc)
  • 15th May - Ensemble_Techniques File
  • Gradient Boosting Trees-1, XGBOOST part 1 File
  • xgboost optimizations, Catboost - Ordered Target Encoding File
  • catboost_lightgbm File
  • Feature_Engineering_1_ File
  • 25th May - Feature Engineering-Filter Methods, Wrapper Methods, Embedded Methods, Hybrid
  • Feature_Engineering_ File
  • 26TH May - Python code for feature Selection
  • Python code for feature Selection fILE
  • 30th May - Overfitting, Under fitting, Cross validation and types, Ridge Regularization
  • Overfitting, Under fitting, Cross validation and types, Ridge Regularization File
  • 31st May - Ridge, Lasso, Class Imbalance problem, Improving Model Performance etc
  • 31st May - Ridge, Lasso, Class Imbalance problem, Improving Model Performance etc
  • 1s June -
  • HyperParameterTuning File
  • ML Case Study-1 (Credit Score classification)
  • 2nd June - ML Case Study-1 (Credit Score classification)
  • 5th June - Unsupervised Learning - Clustering
  • Unsupervised Learning, K Means
  • 6th June - Case Study - With Pipelines, Without Pipelines, SMOTE
  • Building Models using with Pipelines, without pipelines, SMOTE pipeline etc. File

  Deep Learning

  • 24th June - Intro to Deep Learning
  • Intro to Deep Learning
  • Forward Propagation, Back Propagation+Memoization
  • Forward Propagation, Back Propagation+Memoization
  • Forward Propagation, Back Propagation+Memoization Class File
  • Forward Propagation, Back Propagation+Memoization Video
  • Activation Functions
  • L1&L2 Regularization and Early Stopping
  • Activation and Optimizers
  • Optimizer regularization
  • 8 July 2023 Batch Normalization, Weight Initialization ,TensorFlow
  • 8 July 2023 Batch Normalization, Weight Initialization, Tensorflow Code
  • 9 July 2023 Tensorflow-2, Computer Vision, Opencv-1
  • 9 July 2023 Tensorflow-2, Computer Vision, Opencv-1
  • 15 July 2023 OpenCV -II
  • 16 July 2023 OpenCV-III,CNN Introduction
  • 16 July 2023 OpenCV-III,CNN Introduction
  • 22 July 2023 CNN -II
  • 22 July 2023 CNN -II Notes
  • 23 July 2023 Pre Trained Models, CNN Architectures, Functional API, Transfer Learning
  • 23 July 2023 Pre Trained Models, CNN Architectures, Functional API, Transfer Learning
  • 29 July 2023 Object Detection, Image Segmentation
  • 29 July 2023 Object Detection, Image Segmentation Notes
  • 30 July 2023 Image Segmentation, Word Embeddings, AutoEncoders, RNN (LSTM, GRU)
  • 30 July 2023 Image Segmentation, Word Embeddings, AutoEncoders, RNN (LSTM, GRU) Notes
  • 5 August 2023 LSTM, GRU, Bidirectional RNN, LSTM
  • 5 August 2023 LSTM, GRU, Bidirectional RNN, LSTM Notes
  • 6 August 2023 next word prediction, RNN Types, Image Captioning
  • 6 August 2023 next word prediction, RNN Types, Image Captioning Notes
  • 12 August 2023 Named Entity Recognition, Seq2seq, Attention, Transformers, BERT
  • 12 August 2023 Named Entity Recognition, Seq2seq, Attention, Transformers, BERT Notes
  • 13 August 2023 Transformers Python code
  • 13 August 2023 Transformers Python code Notes