# Python and Machine Learning Courses – Black Friday 2021 Deals

October 21, 2021 2021-11-26 9:34## Python and Machine Learning Courses – Black Friday 2021 Deals

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Black Friday is right around the corner and in this article, we’ve listed 5 courses that you should definitely grab if you’re interested in Python and Machine Learning.

## 1. **Python for Newbies – Complete Python Bootcamp**: Enroll now

Are you a new beginner (newbie) looking to learn Python programming? Then, this course on Python is a must for you!

Python is a powerful general-purpose programming language used for all sorts of applications ranging from Machine Learning to web-app development. Today, it is one of the most used programming languages in the world and this Bootcamp course helps you learn it extremely well.

In this course, you will learn everything you need to know about the Python programming language starting from how to install it, how to set up an Interactive Development Environment (IDE), and how to start coding. You will be introduced to various data types and operations in Python and you will also learn about various Python operations. Furthermore, this course helps you learn how to use control flow tools to alter the flow of a Python program.

You will also learn advanced Python programming concepts such as functional and object-oriented programming. This course also teaches you how to handle errors and exceptions in Python and perform file-handling to work with files.

At the end of this course, you will also build a capstone project that you can put in your project portfolio.

## 2. **TensorFlow JS – Build Machine Learning Projects using JS**: Enroll now

Learn TensorFlow.js and build Machine Learning projects using the famous client-side Javascript library.

In this course, you will be learning about scalar as well as tensors and how to create them using TensorFlow.js. 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 four Machine Learning projects while learning through this TensorFlow JS full course:

** 1. Linear Regression from Scratch**

You will be learning how to create a Linear Regression model from scratch using TensorFlow.js. 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.js. 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.js. You will be preparing the data, building the model architecture, training the model as well as build a deep neural network classifier.

** 4. Image Classification using MobileNet**

You will be learning how to use a pre-trained model called MobileNet to build a dog breed classifier with TensorFlow.js.

By the end of this course, you will have learned how to build your own Machine Learning projects from scratch using TensorFlow JS.

## 3. **TensorFlow – Hands-on Machine Learning with TensorFlow: **Enroll now

Learn TensorFlow by building multiple Machine Learning projects through a hands-on approach.

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.

## 4. **Full Stack Data Science Course – Become a Data Scientist**: Enroll now

Get educated and obtain the skills necessary as a Data Scientist to engineer, analyze, build, and deploy intelligent Machine Learning models in this immersive, **Full Stack Data Science** **Course**.

This course addresses the huge demand for data scientists and covers each stage of the entire data science project lifecycle. You will learn how to collect, clean, and store data into a data warehouse as well as perform Exploratory Data Analysis (EDA) on the collected data using statistical and graphical analysis.

Then onwards, this course will guide you through a six-stage Machine Learning workflow aimed at creating powerful and robust data models from scratch. This course will also take you through the process of deploying the created data model into production using a fast, simple, and extensible Web API framework called Flask.

By the end of this course, you will leave with the necessary skills to make your next data science project a reality. Master the four major areas of Data Science and become a Full Stack Data Scientist in 2021.

## 5. **The Theory of Deep Learning – Deep Neural Networks:** Enroll now

Learn the theory behind how Deep Neural Networks work through mathematical as well as real-life examples.

In this course, you will learn the inspiration behind deep learning and how it relates to the human brain. You will also gain clear knowledge about the building blocks of neural networks (called neurons) along with how they compute, make predictions, and learn.

We will then move on to learning the theory of deep neural networks, including how data is fed into it, how neurons compute the data, and how predictions are made. We’ll end the course by learning how deep neural networks learn/train using a combination of feed-forward and back-propagation cycles.

Also, do not worry if you’re not great at mathematics since we’ve covered all the necessary mathematical concepts in the course itself along with real-life examples.