Data Science

Weka provides the best machine learning experience for newbie AI enthusiasts without coding experience

Build a Portfolio of 12 Machine Learning Projects using R, SVM, Regression, Unsupervised Machine Learning & More!

Expose yourself to Advanced Python Techniques and Methods Required as a Data Scientist

This Comprehensive Training will help you become an expert in R programming. Take a deep dive in the mysteries of RStudio.

Think like a Computer Scientist !!

Accelerate your deep learning with PyTorch covering all the fundamentals of deep learning with a python-first framework.

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

Gain expertise to pre-process, prepare, clean up, extract and engineer new features from the raw and time-series data

Master the cutting edge technologies by demonstrating how to converse and perform data analytics with ChatGPT

Comprehensive training of Machine Learning Algorithms for Trading, Risk Management, Investment Management, Credit Scoring

Learn the Deep Learning library for Scientific Computing

Empower yourself with the sufficient knowledge and experience to perform analysis for Text and Image data using Machine Learning

Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow

New to deep learning? Start with this course, giving you the opportunity to build your first deep learning model using the popular Keras library.

Harness the power of Hadoop with PySpark mLib

Learn the Methods and Techniques to Extract Information from Data, and generate useful Predictions, with Weka / Python / R

SAS Predictive Analytics and Machine Learning

Linear Algebra, Statistics, Calculus, & Probability. Together these 4 branches of Maths are the four foundational pillars of everything in Data Science domain

Neural Networks: Machine Learning Inspired by the Brain