Tutors

Technology For All

Meher Fatima

PROGRAM OVERVIEW

CURRICULUM

  Welcome to Technology For Al

  • Induction Session - 09/02
  • Anaconda Installation Procedure
  • Data Science Curriculum
  • Deep Dive into Curriculum
  • Introduction to IDE

  Module 1: Python Programming

  • Introduction to Python
  • Python Keywords
  • Data Types
  • Data Structures
  • Loops
  • Lambda, Filter, Map and Reduce
  • Functions, Modules and Classes
  • Modules II
  • Modules and Classes
  • Revision Session - Python

  Module 1: Python Assignments

  • Assignment - 1
  • Assignment - 2
  • Assignment - 3
  • Assignment 4
  • Assignment 5
  • Assignment 6

  Module 2: Data Analysis

  • Introduction to Data Analysis - Numpy
  • Pandas
  • Missing Values
  • Visualization
  • Numpy File
  • Matplotlib File
  • Matplotlib
  • Statistics I
  • Statistics Notes
  • Inferential Statistics

  WEB SCRAPING

  • Web Scrapping
  • Web Scraping II
  • Web Scrapping III
  • Web Scraping IV

  Module 2: Assignments

  • Numpy Assignment
  • Pandas Assignment
  • Matplotlib Assignment
  • Visualization Assignment

  Placement Activities

  • Resume Building and Interview Preparation Session

  Module 3: Machine Learning

  • Introduction to Machine Learning
  • Evaluation Metrics
  • Metrics Continuation
  • Classification - KNN
  • Linear Regression
  • Linear Regression Notes
  • Metrics and Lifecycle
  • Math behind Machine Learning
  • Logistic Regression
  • Decision Trees
  • Random Forest
  • Boosting Techniques
  • AdaBoost Algorithm
  • Naive Bayes Algorithm
  • SVM Algorithm
  • Clustering
  • PCA

  Module 3: Assignments

  • Linear Regression Assignment
  • Logistic Regression Assignment
  • KNN Assignment
  • Decision Trees Assignment

  Module 4: Deep Learning

  • Introduction to Deep Learning
  • Cost function and Activation functions
  • Optimization Functions
  • House Price Prediction Dataset
  • Introduction to CNN
  • Iris Classification - Tensorboard
  • Image Classification
  • Reshaping, Resizing, Filters, Blurring, Gaussian
  • Convolution Max Pooling
  • CNN Case study
  • CNN Case Study II
  • Word2Vec and Glove
  • RNN and LSTM
  • FNN,RNN and Transformers

  Internship Tasks

  • Web Scraping Project
  • Machine Learning Project (Option 1)
  • Machine Learning Project (Option 2)
  • Deep Learning Project

  SQL and Tableau

  • Introduction
  • SQL Commands
  • Handling Null Values and Sub Queries
  • Introduction to Tableau
  • Tableau Day II
  • Tableau III
  • Tableau IV