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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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  • S

    SQL with Jupyter Notebook Tutorial

    Topic
    31 Concepts | 20 Questions | 13 Assessments | 1,614 Learners

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

    Instructor: Manoj Kumar
  • Lab - Getting Started

    Topic
    8 Concepts | 1,565 Learners

    Free

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

    Instructor: Sandeep Giri
  • M

    ML Prerequisites - Pandas

    Topic
    4 Concepts | 1 Assessment | 1,430 Learners

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

    Instructor: Sandeep Giri
  • Project - Building Cat vs Non-Cat Image Classifier using NumPy and ANN

    Topic
    11 Concepts | 2 Questions | 19 Assessments | 999 Learners

    Python Numpy Image Classification Machine Learning H5PY Free Guided Project

    Welcome to this project on the Numpy - Cat vs Non-cat Classifier with Logistic Regression using Numpy. In this project, you will use Python and Numpy to build a Logistic Regression Classifier from scratch, and apply it to predict the class of an input image - whether it is a cat or a non-cat.

    Though we have a lot of ready-made APIs like scikit-learn and Keras to build Machine Learning and Deep Learning models, it is very essential for a Machine Learning enthusiast to clearly understand the hidden mechanism behind the working of ML models. Upon completing this project, you will understand …

    Instructor: Cloudxlab
  • Getting Started with Git

    Topic
    3 Concepts | 13 Assessments | 887 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
  • Project - Predicting Titanic Passenger Survival using Machine Learning and Python

    Topic
    7 Concepts | 2 Questions | 12 Assessments | 810 Learners

    Python scikit-learn Pandas Data Processing Machine Learning Predictive Modelling Free Guided Project

    Welcome to this project on the Titanic Machine Learning Project with Support Vector Machine Classifier and Random Forests using scikit-learn. In this project, you will use Python and scikit-learn to build SVC and random forest, and apply them to predict the survival rate of Titanic passengers.

    Data preprocessing is one of the most prominent steps to make an effective prediction model in Machine Learning, and it is often a best practice to use data preprocessing pipelines. In this exercise, you will also learn how to build your custom data transformers and chain all these data pre-processing steps using scikit-learn pipelines …

    Instructor: Cloudxlab
  • M

    Machine Learning Process

    Topic
    3 Concepts | 35 Questions | 782 Learners

    AI Machine Learning Free AI for Managers

    Understand the entire Machine Learning process.

    Instructor: Cec Iit Roorkee
  • I

    Introduction to AI and Machine Learning

    Topic
    2 Concepts | 14 Questions | 749 Learners

    Deep Learning AI Machine Learning Free AI for Managers

    An introduction to AI and Machine Learning for Managers.

    Instructor: Cec Iit Roorkee
  • A

    Artificial Neural Networks

    Topic
    33 Questions | 718 Learners

    Deep Learning AI Machine Learning Free

    A gentle introduction to Artificial Neural Networks. Know more about perceptrons, backpropagation, and build an image classifier with Keras.

    Instructor: Sandeep Giri
  • P

    Project - Image Classification with Pre-trained InceptionV3 Network

    Topic
    1 Concept | 4 Assessments | 690 Learners

    Deep Learning Tensorflow 2 Inception Python Programming Free Guided Project

    Welcome to this project on Image Classification with Pre-trained InceptionV3 Network. This project aims to impart the knowledge of how to access the pre-trained models(here we get pre-trained Inception model) from Keras of TensorFlow 2, and appreciate its powerful classification capacity by making the model predict the class of an input image.

    Understanding the pre-trained models is very important because this forms the basis of transfer learning. one of the most appreciated techniques to perform the classification of a different task thus reducing the training time, the number of iterations, and resource consumption. Learning about the pre-trained models and …

    Instructor: Cloudxlab
  • E

    End to End Project - Classification

    Topic
    18 Questions | 660 Learners

    AI Machine Learning Free AI for Managers

    Learn how Classification works in Machine Learning.

    Instructor: Sandeep Giri
  • A

    Analytics and Data Sciences

    Topic
    2 Concepts | 21 Questions | 649 Learners

    AI Machine Learning Free AI for Managers Analytics Data Science

    Learn more about Analytics and Data Science, probability, normal distribution, variance, data cleaning, feature scaling, standardization from industry experts.

    Instructor: Sandeep Giri
  • Project - Building Spam Classifier

    Topic
    13 Concepts | 2 Questions | 12 Assessments | 614 Learners

    NLP Python scikit-learn Data Processing Machine Learning Predictive Modelling NLTK Free Guided Project

    Welcome to this project on the Spam Classifier Project with Logistic Regression Classifier using scikit-learn. In this project, you will use Python and scikit-learn to build a Logistic Regression Classifier, and apply it to predict whether an email is Spam or Ham.

    The world is full of textual data being generated at a very rapid pace each second. The most important data preprocessing steps include accessing and cleansing the real-time data, transforming it to get a refined form, and making it in an ML-algorithm compatible way by representing the textual data into numerical form. You will learn to achieve all …

    Instructor: Cloudxlab
  • A

    Analytics and Data Sciences

    Topic
    3 Concepts | 21 Questions | 553 Learners

    Learn more about Analytics and Data Science, probability, normal distribution, variance, data cleaning, feature scaling, standardization from industry experts.

    Instructor: Cec Iit Roorkee
  • P

    Project - Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset

    Topic
    1 Concept | 6 Assessments | 539 Learners

    Tensorflow 2 Classification Convolutional Neural Networks Free Guided Project

    Welcome to this project on Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset. In this project, we will understand how to use the TensorFlow 2 platform to build a simple classifier using Convolutional Neural Networks(CNNs).

    CNNs have been one of the state-of-art tools in the current era of Computer Vision. The present-day deep learning and computer vision communities find numerous applications of CNNs in classification tasks and object detection use cases. These use cases have formed the basis of many real-time applications like self-driving cars, face recognition apps, satellite photo analysis and classification, and many more …

    Instructor: Cloudxlab
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