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Free(107) Guided Project(44) Python(39) Machine Learning(32) Big Data(26) Deep Learning(21) IIT Roorkee(20) Hadoop(17) Tensorflow 2(16) PG Certificate Program(13) Apache Hadoop(12) Spark(12) Pandas(12) DevOps(11) AI(11)

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  • Project - Writing Spark Applications

    Topic
    16 Concepts | 3,919 Learners

    Free Spark

    Learn how to write Spark applications.

  • Introduction to ML

    Topic
    1 Concept | 12 Questions | 3,829 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 | 3,218 Learners

    Free

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

    Instructor: Sandeep Giri
  • Machine Learning With Spark

    Topic
    7 Concepts | 3,189 Learners

    Machine Learning Free Apache Spark Big Data Spark

    Learn how to apply MLLib for Machine Learning using Spark.

    Instructor: Sandeep Giri
  • End-to-End Project- Self contained

    Topic
    5 Concepts | 24 Questions | 1 Assessment | 3,139 Learners

    Machine Learning Free

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

    Instructor: Sandeep Giri
  • Graph Processing With Spark

    Topic
    2 Concepts | 3,091 Learners

    Free Apache Spark Big Data Spark

    Learn Graph Processing with Spark from Industry Experts.

    Instructor: Sandeep Giri
  • Project - Forecast Bike Rentals

    Topic
    9 Concepts | 14 Questions | 15 Assessments | 2,687 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
  • copy of SQL Tutorial

    Topic
    40 Concepts | 26 Questions | 7 Assessments | 2,425 Learners

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

    Instructor: Sandeep Giri
  • S

    SQL with Jupyter Notebook Tutorial

    Topic
    31 Concepts | 20 Questions | 13 Assessments | 2,257 Learners

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

    Instructor: Manoj Kumar
  • Pandas for Machine Learning

    Topic
    2 Concepts | 1 Assessment | 2,192 Learners

    Pandas Machine Learning Free

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

    Instructor: Sandeep Giri
  • G

    Getting Started with Pandas

    Topic
    4 Concepts | 1 Assessment | 1,955 Learners

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

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

    Topic
    12 Concepts | 7 Questions | 11 Assessments | 1,904 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
  • Lab - Getting Started

    Topic
    8 Concepts | 1,640 Learners

    Free

    An introduction to CloudxLab lab, and how you can submit your work using the Assessment Engine.

    Instructor: Sandeep Giri
  • Getting Started with Git

    Topic
    3 Concepts | 13 Assessments | 1,598 Learners

    Git GitHub Version Control Free Guided Project

    Welcome to this project on Getting Started with Git. In this project, you will understand how to use Git, one of the most famous distributed version-control systems to track changes in files and source code in your projects during software development.

    In this exercise, you will learn about creating git repository, commits, branches, and merge branches. Additionally, you will learn how to create and clone a GitHub repository and SSH keys to push the changes to the remote repository.

    Skills you will develop:

    1. Version control using Git
    2. Github
    3. SSH keys
    Instructor: Sandeep Akode
  • copy of Getting Started with Git

    Topic
    3 Concepts | 13 Assessments | 1,562 Learners

    Welcome to this project on Getting Started with Git. In this project, you will understand how to use Git, one of the most famous distributed version-control systems to track changes in files and source code in your projects during software development.

    In this exercise, you will learn about creating git repository, commits, branches, and merge branches. Additionally, you will learn how to create and clone a GitHub repository and SSH keys to push the changes to the remote repository.

    Skills you will develop:

    1. Version control using Git
    2. Github
    3. SSH keys
    Instructor: Sandeep Akode
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