Tutors

Innomatics Research Labs

PROGRAM OVERVIEW

CURRICULUM

  Welcome to the Course

  • Discord Community - Innomatics Research Labs
  • Zoom Mentoring Session Links

  Python Programming

  • Intro to Jupyter note book and python
  • Intro to Data Science
  • Intro of Anaconda
  • Basic Data Structure and Inbuilt Functions
  • Basic Data Structure and Inbuilt Functions File
  • Basic Data Structure and Inbuilt Functions - II
  • List and Tuple
  • String and Dictionary
  • Dictionary Set and Conditional Statement
  • Loops and Conditional Statement
  • Loops, Conditional Statement and Functions
  • Function and Exception Handling
  • Class and Object
  • File Handling
  • List Tuple Set and Dict - Data Structure and built in Functions files
  • Conditional Statement and Loops File
  • Functions and Exceptional File
  • Class and Objects File
  • File handling File
  • Object oriented programming
  • NUMPY
  • Numpy_II_part1
  • Numpy_II_part2
  • Numpy_III

  Data Analysis Using Python

  • Numpy - I
  • Numpy - 1 File
  • Numpy - II
  • Numpy - III
  • Numpy - II_III Class File
  • Numpy - III_IV Files
  • Numpy - III
  • NumpyIV
  • Pandas_I
  • Pandas - 1 File
  • Pandas_II
  • Pandas - III
  • Pandas - II & III File
  • Data Visualization using Matplotlib
  • Data visualization using Matplotlib File
  • Data Visualization using Seaborn
  • Matplotlib and Seaborn Material and Datasets
  • Data Visualization with seaborn - II
  • Data Visualization with seaborn - II File
  • Data Visualization with seaborn - III
  • Data Visualization with seaborn - III File
  • Data Preprocessing Use Case
  • Data Preprocessing Use Case File
  • Descriptive Statistics
  • Descriptive Statistics Lab
  • Descriptive Statistics Lab File
  • Descriptive Statistics Reference Notes
  • Regular Expression
  • Regular Expression - II
  • Regular Expression File
  • Web Scraping
  • Web Scarping - I File
  • Web Scarping - II
  • Web Scarping -III
  • Web Scarping - III File

  Assignments

  • Python - String
  • Python - List and Tuple
  • Python - Sets and Dictionary
  • Python - Conditional Statement and Loops
  • Functions and methods exercise
  • Python - Filter Map and Reduce Assignment
  • Python - Error and Exceptional Handling Assignment
  • Python - Class and Object
  • Python - Numpy
  • Data Analysis - Pandas
  • Stats - EDA Assignment
  • Hypothesis Testing Assignment
  • ML - Linear Regression Assignment
  • ML - Logistics Regression

  Projects

  • Web Scraping With EDA
  • PPT Innomatics Tamplate
  • Resume Portfolio
  • Telephone Directory - CRUD Operation
  • MySQL Project
  • ML - Regression Concrete Strength Prediction
  • ML - Classification Project

  Statistics

  • Measures of Central Tendency
  • Probability
  • Conditional Probability
  • Bayes Theorem
  • Bayes Theorem Reference Notes
  • Random Variable
  • Probability & Bayes Theorem Class files
  • Bernoulli and Binomial Distribution
  • Poisson, Normal and Standard Normal Distribution & CLT
  • Poisson, Normal and Standard Normal Distribution & CLT Reference Notes
  • Normal Distribution Questions
  • Central Limit Theorem
  • Confidence Interval
  • Confidence Interval - II
  • Hypothesis Testing
  • Hypothesis Testing - II
  • Hypothesis Testing - III
  • Central Limit Theorem Lab
  • Hypothesis Testing Reference Notes
  • Hypothesis Testing Lab
  • Hypothesis Testing Lab - II
  • Chi Square Test
  • ANOVA
  • ANOVA - II
  • Probability and Distribution Lab File
  • Hypothesis Testing Lab Files

  SQL

  • SQL - 1
  • SQL Installation File
  • SQL - 2
  • SQL - 3
  • SQL - 3 File
  • SQL - 4
  • SQL - 5
  • SQL - 6
  • Python Connections FIles
  • Project Discussion
  • SQL Use Case

  Quiz

  • Python - Basic
  • Python - Intermediate
  • Python - Advance

  Application Development - Flask

  • Flask Day - 1
  • Flask Day - 2
  • Flask Day - 2 File
  • Flask Day - 3
  • Flask Day - 4
  • Flask Day - 4 File
  • Flask Day - 5
  • Flask Day - 5 File
  • Flask Day - 6
  • Flask Day - 7
  • Flask Files

  Interview and Placement Activities

  • Resume Building
  • Mastering LinkedIn Session for Effective Job Search
  • Python Interview Preparation Session
  • SQL Interview Preparation Session
  • Resume Building Session

  Machine Learning - Supervised Regression

  • Intro of Machine Learning
  • Math Behind ML
  • Simple Linear Regression
  • Intro to ML
  • Simple Linear Regression Class File
  • Gradient Descent
  • Linear Regression Lab Using Sklearn
  • Data Preprocessing File
  • Simple Linear Regression
  • Simple Linear Regression File
  • Linear Regression Lab - II
  • Linear Regression - I & II Lab Files
  • Multiple Linear Regression
  • Multiple Linear Regression Lab
  • Multiple Linear Regression Lab File
  • Polynomial Regression
  • Polynomial Regression File
  • Evolution Metrics and Bias Variance Trade off
  • Evaluation Metrics File
  • Regularization
  • Regularization File
  • Linear Regression from Scratch
  • Linear Regression from Scratch File
  • Revision of Linear Regression

  Machine Learning - Supervised Classification

  • Logistics Regression
  • Logistics Regression File
  • Logistics Regression Lab
  • Logistics Regression Lab - II & Evaluation Metrics