Machine Learning Training

Course Curriculum

  • Introduction to Python Programming
  • Installing Python with Virtual Enviroment
  • Installing Python Packages with Pip
  • Python Basics & Syntax
  • Data Structures in Python
  • Conditional Statements in Python
  • Loop Statements in Python
  • Quizes

  • List and Dict Comprehensions in Python
  • Functions & Classes in Python
  • I/O with Basic Files in Python
  • Errors & Eceptions Handlings in Python
  • Important and Useful Code Snippets in Python
  • Python Assignment

  • What is Exploratory Data Analysis
  • Why Data Analysis Required
  • Introduction to Pandas Library
  • Series and DataFrames in Pandas
  • Import & Export Data in Pandas
  • Basic Operations on Dataset
  • Indexing, Slicing and Iterating Dataset in Pandas
  • Quizes

  • Basic Database Operations in Pandas
  • Handling of Outliers in Dataset
  • Handling Null Values in Pandas
  • Introduction to Matplotlib Library
  • Different Types of Plots
  • Data Visualization using Pandas & Matplotlib
  • Quizes

  • Scatterplot & Histrogram in Matplotlib
  • Detect Related & Non-Related Features in Dataset
  • Data Normalization in Pandas
  • Introduction to Numpy Arrays
  • Basic Operations on Arrays in Numpy
  • Prepare Dataset for Machine Learning
  • Quizes

  • What is Artificial Intelligence
  • Why Everybody Talking About AI
  • Use Cases of Artificial Intelligence
  • Pros & Cons of Artificial Intelligence
  • Introduction to Machine Learning
  • Types of Machine Learning
  • Understanding of Supervised Machine Learning
  • Understanding of Unsupervised Machine Learning
  • Quizes

  • Difference Between Regression & Classification
  • Understanding of Input & Ouptut lables
  • What is Overfitting & Underfitting
  • Understanding of Linear Regression
  • Understanding of Logistic Regression
  • Introduction to Scikit-Learn Library
  • Implement Linear & Logistic Regression in Scikit-Learn
  • Quizes

  • Understanding of Decison Tree & Random Forest
  • Implement Decision Tree Models in Scikit-Learn
  • Fundamental Concepts of Ensemble Learning
  • Understanding of KNN (K Nearest Neighbour)
  • What is Support Vector Machine
  • Implemention of SVM in Scikit-Learn
  • Quizes

  • Introduction to Clustering Algorithms
  • How K-means algorithm work
  • Implementation of K-means algorithm
  • Understanding of Reinforcement Learning
  • Use Cases of Reinforcement Learning
  • What is Epsilon Greedy Algorithm
  • Understanding of Q-Learning
  • Quizes

  • Measure Machine Learning Models Performance
  • Different Model Optimization Techniques
  • Optimize Models with Hyperparameters
  • Grid Search Techinque for Best Model Parameters
  • Optimizing Learning Rate
  • Understanding of Confusion Matrix
  • What is Bias-Variance Trade-Off
  • What is Momentum & Regularization
  • Quizes

  • Introduction to Computer Vision and OpenCV
  • Image Representation and Basic Analysis
  • Understanding of Image Color Spaces
  • Rotation, Resizing, Flipping, Cropping of Image
  • Drawing Objects in OpenCV
  • Images Airthmetic Operation in OpenCV
  • Understanding of Histograms
  • Quizes

  • Contours & Edge Detection in OpenCV
  • Image Threshold, Masking, and Blurring
  • Detect Objects from Images
  • Image Matching in OpenCV
  • Object Motion & Tracking in Vidoes
  • Quizes

  • Introduction to Deep Learning and Neural Networks
  • Use Cases of Deep Learning
  • Understanding of Perceptrons in Neural Network
  • Basic Mathematics Behind Neural Networks
  • Understanding of Forward and Backward Propogation
  • Understanding of Different Activation Functions
  • Understanding of Different Loss Functions
  • What is Epoch, Iterations and Batch Size
  • Quizes

  • Introduction to Keras & Tensorflow
  • Different Types of Deep Learning Layers in Keras
  • Understanding of CNN (Convolutional Neural Network)
  • Building First CNN Model in Keras
  • Data Prepration for CNN Model Training
  • Split Data for Training, Validation and Testing
  • Training Deep Learning Models in Keras
  • Plotting Accuracy and Loss Charts
  • Saving and Loading Deep Learning Models
  • Understanding of TimeSeries Dataset
  • Building RNN Model in Keras for TimeSeries Dataset
  • Quizes

  • Introduction to Object Detection from Image & Videos
  • Different Pre-Trained Models VGG, ResNet, YOLO, SSD
  • Object Detection using Pre-Trained Models
  • Understanding of Transfer Learning
  • Annotating Custom Dataset for Model Training
  • Overwrite Pre-Trained Models in Keras
  • Train Pre-Trained Models with Custom Objects
  • Quizes

  • Introduction to NLP (Natural Language Processing)
  • Understanding of Word Embedding
  • Tokenize Texual Dataset for Model Training
  • Understanding of Sequence-2-Sequence Model
  • Building LSTM Model in Keras with Textual Dataset
  • Introduction to OCR (Optical Character Recognition)
  • Read Text from Images using Tesseract
  • Understanding of Different OCR Techniques

What Else Includes

4X Learning

In addition to the course curriculum get a hands on experience on must have tools and best practices.

  • GIT Version Control
  • CI / CD Pipelines
  • Docker Containerisation
  • AWS Infrastructure

Mentorship

Get mentored and coached with guest sessions by global industry leaders at every step. Get a chance to be part of

  • Entrerpreneurship Skill Sessions
  • Business Process Discussions
  • Exciting Meetups and Events

Project Experience

Get a chance to work with live projects with real clients. Get hands on experience while working on complex client requirements.

  • Solve Complex Client Problems
  • Work with Experienced Teams
  • Get 1 - 1 Technical Assistance

Why We Are Different

  • Course content designed by industry experts.
  • Classes conducted by real-world experienced instructors.
  • Technical mentorship and career guidance services at every step.
  • Corporate training programs on live projects with real clients.
  • Guest lectures organized by international specialized domain experts.
  • Respectful cultural learning with professional corporate environment.
  • Continuous tracking of performance and progress by mentors.

Enroll Now

And take a right step to find the right learning path for you career.

For any type of further queries you can also call us at +91 96500 05689