Data Science Specialization with TF2 by E&ICT, IITR

Start Enroll Now

Topic 2 - Big Data Introduction

Start Enroll Now

Topic 3 - Lab Overview

Start Enroll Now

Topic 4 - Linux Basics

Start Enroll Now

Topic 5 - SQL Tutorial Optional

Note - This topic does not contribute to course progress

Start Enroll Now

Topic 6 - Java Essentials Optional

Note - This topic does not contribute to course progress

Start Enroll Now

Topic 7 - Apache ZooKeeper

Start Enroll Now

Topic 8 - HDFS - Hadoop Distributed File System

Start Enroll Now

Topic 9 - Yarn

Start Enroll Now

Topic 10 - MapReduce Basics

Start Enroll Now

Topic 11 - MapReduce Programming Optional

Note - This topic does not contribute to course progress

Start Enroll Now

Topic 12 - Pig & Pig Latin Optional

Note - This topic does not contribute to course progress

Start Enroll Now

Topic 13 - Hive

Instructor

E&Ict Academy, Iit Roorkee

Start Enroll Now

Topic 14 - Project - Sentiment Analysis in Hive Project

Topic 15 - Project - Hive - Visualization with Tableau Optional Project

Start Enroll Now

Note - This topic does not contribute to course progress

Instructor

E&Ict Academy, Iit Roorkee

Start Enroll Now

Topic 16 - Project - Hive - NYSE Optional Project

Note - This topic does not contribute to course progress

Instructor

E&Ict Academy, Iit Roorkee

Start Enroll Now

Topic 17 - Sqoop

Start Enroll Now

Topic 18 - Flume

Start Enroll Now

Topic 19 - Oozie Optional

Note - This topic does not contribute to course progress

Start Enroll Now

Topic 20 - NoSQL

Start Enroll Now

Topic 21 - HBase

Start Enroll Now

Topic 22 - Scala

Start Enroll Now

Topic 23 - Apache Spark Basics

Start Enroll Now

Topic 24 - Apache Spark - Key Value RDD

Start Enroll Now

Topic 25 - Loading and Saving Data

Start Enroll Now

Topic 26 - Spark Streaming

Start Enroll Now

Topic 27 - Spark On Cluster

Start Enroll Now

Topic 28 - Adv Spark Programming

Topic 29 - Project - Writing Spark Applications Optional Project

Start Enroll Now

Note - This topic does not contribute to course progress

Start Enroll Now

Topic 30 - DataFrames, Spark SQL, R

Start Enroll Now

Topic 31 - Machine Learning With Spark

Start Enroll Now

Topic 32 - Graph Processing With Spark

Start Enroll Now

Topic 33 - Foundations of Python Optional

Note - This topic does not contribute to course progress

Topic 34 - Project - Churn Emails Inbox with Python Optional Project

Start Enroll Now

Note - This topic does not contribute to course progress

Instructor

Abhinav Singh

Start Enroll Now

Topic 35 - Machine Learning Prerequisites (Numpy)

Start Enroll Now

Topic 36 - Pandas for Machine Learning

Start Enroll Now

Topic 37 - Introduction to ML

Start Enroll Now

Topic 38 - End-to-End Project- Self contained

Start Enroll Now

Topic 39 - End-to-End ML Project - California Housing Project

Start Enroll Now

Topic 40 - Project - Forecast Bike Rentals Project

Start Enroll Now

Topic 41 - Classification

Topic 42 - Project - Noise removal from images Optional Project

Start Enroll Now

Note - This topic does not contribute to course progress

Start Enroll Now

Topic 43 - Project - Predicting Titanic Passenger Survival using Machine Learning and Python Project

Start Enroll Now

Topic 44 - Project - Building Spam Classifier Project

Start Enroll Now

Topic 45 - Training Models

Start Enroll Now

Topic 46 - Support Vector Machines

Start Enroll Now

Topic 47 - Decision Trees

Start Enroll Now

Topic 48 - Ensemble Learning and XGBoost

Start Enroll Now

Topic 49 - Dimensionality Reduction

Start Enroll Now

Topic 50 - Project - Classify Clothes from Fashion MNIST Dataset using Machine Learning Techniques Project

Start Enroll Now

Topic 51 - Unsupervised Machine Learning

Start Enroll Now

Topic 52 - Project - Deploy Machine Learning models to production Project

Start Enroll Now

Topic 53 - Introduction to Artificial Intelligence, Machine Learning and Deep Learning

Start Enroll Now

Topic 54 - Artificial Neural Networks

Start Enroll Now

Topic 55 - Project - How to Build a Neural Network for Image Classification with TensorFlow Project

Start Enroll Now

Topic 56 - Training Deep Neural Networks

Start Enroll Now

Topic 57 - Project - Training from Scratch vs Transfer Learning Project

Start Enroll Now

Topic 58 - Custom Models and Training with TensorFlow

Start Enroll Now

Topic 59 - Project - Working with Custom Loss Function Project

Start Enroll Now

Topic 60 - Loading and Preprocessing Data with TensorFlow

Start Enroll Now

Topic 61 - Convolutional Neural Networks

Start Enroll Now

Topic 62 - Project - Image Classification with Pre-trained Keras models Project

Start Enroll Now

Topic 63 - Project - How to Deploy an Image Classification Model using Flask Project

Start Enroll Now

Topic 64 - Project - Introduction to Transfer Learning (Cat vs Non-cats Project) Project

Start Enroll Now

Topic 65 - Project - Mask R-CNN with OpenCV for Object Detection Project

Topic 66 - Project - Introduction to Neural Style Transfer using Deep Learning & TensorFlow 2 (Art Generation Project) Optional Project

Start Enroll Now

Note - This topic does not contribute to course progress

Start Enroll Now

Topic 67 - Recurrent Neural Networks

Start Enroll Now

Topic 68 - Project - Stock Closing Price Prediction using Deep Learning, TensorFlow2 & Keras Project

Start Enroll Now

Topic 69 - Natural Language Processing

Start Enroll Now

Topic 70 - Autoencoders and GANs

Start Enroll Now

Topic 71 - Project - How to Build a Sentiment Classifier using Python and IMDB Reviews Project

Start Enroll Now

Topic 72 - Project - Autoencoders for MNIST Fashion Project

Start Enroll Now

Topic 73 - Reinforcement Learning

Start Enroll Now

Topic 74 - References Optional

Note - This topic does not contribute to course progress

Start Enroll Now

Topic 75 - What's Next? Optional

Note - This topic does not contribute to course progress