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Free(104) Guided Project(41) Python(33) Machine Learning(30) Big Data(26) Deep Learning(21) Hadoop(17) Tensorflow 2(16) IIT Roorkee(12) Apache Hadoop(12) Spark(12) DevOps(11) AI(11) Apache Spark(10) Pandas(10)

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  • MapReduce Programming

    Topic
    6 Concepts | 3 Questions | 4 Assessments | 4,566 Learners

    Free Big Data Hadoop Apache Hadoop MapReduce

    MapReduce is Framework as well as a paradigm of computing. By the way of map-reduce, we are able to break-down complex computation into distributed computing.

    As part of this chapter, we are going to learning how to build MapReduce programmes using Java.

    Please make sure you work along with the course instead of just sitting back and watching.

    Happy Learning!

    Instructor: Sandeep Giri
  • Spark Streaming

    Topic
    12 Concepts | 8 Questions | 4,553 Learners

    Free Apache Spark Big Data Spark

    Spark Streaming is an extension of the core Spark API that enables scalable, high-throughput, fault-tolerant processing of live data streams. Learn Spark Streaming from the industry experts.

    Instructor: Sandeep Giri
  • Loading and Saving Data

    Topic
    8 Concepts | 4,265 Learners

    Free Apache Spark Big Data Spark

    Learn to load and save data using Spark, compression, and how to handle various file formats using Spark from the industry experts.

    Instructor: Sandeep Giri
  • Spark Project - Log Parsing

    Topic
    1 Concept | 4 Questions | 4,246 Learners

    Free Guided Project Log Parsing Apache Spark Big Data

    Whenever you make a request to a web server for a page, it records it in a file which is called logs.

    The logs of a webserver are the gold mines for gaining insights in the user behaviour. Every data scientists usually look at the logs first to understand the behaviour of the users. But since the logs are humongous in size, it takes a distributed framework like Hadoop or Spark to process it.

    As part of this project, you will learn to parse the text data stored in logs of a web server using the Apache Spark.

  • NoSQL

    Topic
    6 Concepts | 9 Questions | 4,084 Learners

    NoSQL Database

    Learn NoSQL, complex objects and relations from the industry experts.

    Instructor: Sandeep Giri
  • Project - Writing Spark Applications

    Topic
    16 Concepts | 3,780 Learners

    Free Spark

    Learn how to write Spark applications.

  • SQL Tutorial

    Topic
    39 Concepts | 23 Questions | 7 Assessments | 3,301 Learners

    Free SQL Database MySQL

    This SQL Tutorial course helps people in learning the basics of SQL and RDBMS through hands-on on MySQL database.

    Instructor: Sandeep Giri
  • Introduction to ML

    Topic
    1 Concept | 12 Questions | 3,220 Learners

    Machine Learning Free

    A gentle introduction to the world of Machine Learning. Know about the various types of Machine Learning, and their various applications.

    Instructor: Sandeep Giri
  • Building Spark Application - End to End

    Topic
    16 Concepts | 3,078 Learners

    Free

    Learn how to build end-to-end Spark Applications.

    Instructor: Sandeep Giri
  • Machine Learning With Spark

    Topic
    7 Concepts | 3,069 Learners

    Machine Learning Free Apache Spark Big Data Spark

    Learn how to apply MLLib for Machine Learning using Spark.

    Instructor: Sandeep Giri
  • Graph Processing With Spark

    Topic
    2 Concepts | 3,002 Learners

    Free Apache Spark Big Data Spark

    Learn Graph Processing with Spark from Industry Experts.

    Instructor: Sandeep Giri
  • End-to-End Project

    Topic
    5 Concepts | 24 Questions | 1 Assessment | 2,742 Learners

    Machine Learning Free

    Learn how to create end-to-end Machine Learning solutions.

    Instructor: Sandeep Giri
  • Project - Forecast Bike Rentals

    Topic
    9 Concepts | 14 Questions | 15 Assessments | 2,246 Learners

    Python scikit-learn Pandas Data Processing Machine Learning Matplotilb Linear Regression Free Guided Project

    Welcome to this project on the Forecasting Bike Rentals with DecisionTreeRegressor, LinearRegression, RandomForestRegressor using scikit-learn. In this project, you will use Python and scikit-learn to build models using the above-mentioned algorithms, and apply them to forecast the bike rentals.

    Forecasting is a regression problem, which is a highly demanded skill in the real world. This exercise enables you to understand the basic workflow to solve a regression problem, which includes data preprocessing and data modeling steps. You will understand how Pandas and scikit-learn, in association with Python, could be used to solve a machine learning problem end-to-end project. In addition …

    Instructor: Sandeep Giri
  • Project - Classify Clothes from Fashion MNIST Dataset using Machine Learning Techniques

    Topic
    12 Concepts | 7 Questions | 11 Assessments | 1,668 Learners

    Python scikit-learn Pandas Data Processing Machine Learning Dimensionality Reduction Hyperparameter Tuning Free Guided Project

    Welcome to this project on Classify Clothes from Fashion MNIST Dataset with a couple of Machine Learning algorithms like SGD Classifier, XGBClassifier, Softmax Regression (multi-class LogisticRegression), DecisionTreeClassifier, RandomForestClassifier, Ensemble (with soft voting) using scikit-learn. In this project, you will use Python and scikit-learn to build Machine Learning models, and apply them to predict the class of clothes from Fashion MNIST Dataset.

    In this end-to-end Machine Learning project, you will get a hands-on overview of how to methodologically solve a machine learning classification problem. As a part of it, you will understand various methods of improvising the models using hyperparameter tuning …

    Instructor: Sandeep Giri
  • Pandas for Machine Learning

    Topic
    2 Concepts | 1 Assessment | 1,667 Learners

    Pandas Machine Learning Free

    This chapter covers different Pandas constructs and functions which are normally used in Machine Learning projects

    Instructor: Sandeep Giri
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