This SQL Tutorial course helps people in learning the basics of SQL and RDBMS through hands-on on MySQL database.
This SQL Tutorial course helps people in learning the basics of SQL and RDBMS through hands-on on MySQL database.
This chapter covers different Pandas constructs and functions which are normally used in Machine Learning projects
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 …
This chapter covers different Pandas constructs and functions which are normally used in Machine Learning projects
An introduction to CloudxLab lab, and how you can submit your work using the Assessment Engine.
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:
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:
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:
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 …
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 …
A gentle introduction to Artificial Neural Networks. Know more about perceptrons, backpropagation, and build an image classifier with Keras.