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TensorFlow - Hands-on Machine Learning with TensorFlow 2026
Rating: 4.1 out of 5(33 ratings)
926 students

TensorFlow - Hands-on Machine Learning with TensorFlow 2026

Learn TensorFlow by building multiple Machine Learning projects through a hands-on approach.
Last updated 12/2025
English
English [Auto],

What you'll learn

  • Learn about Scalar and Tensors.
  • Create Scalar and Tensors in TensorFlow.
  • Perform various Tensor operations.
  • Build a Linear Regression model from Scratch.
  • Build a Linear Regression model using a Sequential Model.
  • Build a Logistic Regression model using a Sequential Model.

Course content

4 sections14 lectures1h 8m total length
  • Welcome to the course!1:16

    Hi everyone! I'm Pragyan, a data scientist at The Click Reader and welcome to this course on TensorFlow.

  • Installing and Importing TensorFlow3:07

    Learn how to install and import TensorFlow in Python.

Requirements

  • Know the basics of Supervised Machine Learning.
  • Know the basics of Deep Learning.

Description

Learn how to build Machine Learning projects in this TensorFlow Course created by The Click Reader.

In this course, you will be learning about Scalar as well as Tensors and how to create them using TensorFlow. You will also be learning how to perform various kinds of Tensor operations for manipulating and changing tensor values.

You will be performing a total of three Machine Learning projects while learning through this TensorFlow full course:

  1. Linear Regression from Scratch

You will be learning how to create a Linear Regression model from scratch using TensorFlow. You will be preparing the data, building the model architecture as well as training the model using a custom-made loss function as well as an optimizer.

  2. Linear Regression using a Sequential Model

You will be learning how to create a Linear Regression model using a Sequential Model with TensorFlow. You will be preparing the data, building the model architecture, training the model, viewing the change in the loss as well as build a multi-input regressor.

  3. Logistic Regression using a Sequential Model

You will be learning how to create a Logistic Regression model using a Sequential Model with TensorFlow. You will be preparing the data, building the model architecture, training the model as well as build a deep neural network classifier.

Who this course is for:

  • Any developer looking to learn how to build, train and deploy Machine Learning models using TensorFlow.