Machine Learning with Python by FreeCodeCamp via Topcoder: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

The Machine Learning with Python certification course is a 175 hours short course that is prepared and presented by the Topcoder Academy. This programme is spread over 3 distinct modules that are taught for 15, 10, and 150 hours respectively. With this course curriculum, the candidates will be able to apply the different machine learning concepts to practical use in their job fields.

In the Machine Learning with Python training, the candidates will be able to use the TensorFlow framework for building several neural networks and also explore more advanced techniques like reinforcement learning, and natural language processing. Moreover, the candidates are introduced to concepts like neural networks along with principles behind how recurrent, and deep neural networks work.

Course and certificate fees

certificate availability

Yes

certificate providing authority

Topcoder

Who it is for

Data analyst Data scientist Machine learning engineer

This Data Visualization program is very much suitable for people like machine learning engineers, data scientists, and data analysts.

Eligibility criteria

Academic Qualifications

No particular requirement is stated to participate in this course.

Certification Qualifying Details

Once someone completes every module in this course shall be issued a Machine Learning with Python certification by Topcoder Academy.

What you will learn

Machine learning Knowledge of python

With the Machine Learning with Python certification syllabus, the candidates will learn the basic concepts of machine learning in its path along with python. These practical applications can be used in projects that are for on-the-job training

The syllabus

TensorFlow

Introduction: Machine Learning Fundamentals
Introduction to TensorFlow
Core Learning Algorithms
Core Learning Algorithms: Working with Data
Core Learning Algorithms: Training and Testing Data
Core Learning Algorithms: The Training Process
Core Learning Algorithms: Classification
Core Learning Algorithms: Building the Model
Core Learning Algorithms: Clustering
Core Learning Algorithms: Hidden Markov Models
Core Learning Algorithms: Using Probabilities to Make Predictions
Neural Networks with TensorFlow
Neural Networks: Activation Functions
Neural Networks: Optimizers
Neural Networks: Creating a Model
Convolutional Neural Networks
Convolutional Neural Networks: The Convolutional Layer
Creating a Convolutional Neural Network
Convolutional Neural Networks: Evaluating the Model
Convolutional Neural Networks: Picking a Pretrained Model
Natural Language Processing With RNNs
Natural Language Processing With RNNs: Part 2
Natural Language Processing With RNNs: Recurring Neural Networks
Natural Language Processing With RNNs: Sentiment Analysis
Natural Language Processing With RNNs: Making Predictions
Natural Language Processing With RNNs: Create a Play Generator
Natural Language Processing With RNNs: Building the Model
Natural Language Processing With RNNs: Training the Model
Reinforcement Learning With Q-Learning
Reinforcement Learning With Q-Learning: Part 2
Reinforcement Learning With Q-Learning: Example
Conclusion

How Neural Networks Work

How Deep Neural Networks Work
Recurrent Neural Networks RNN and Long Short Term Memory LSTM
Deep Learning Demystified
How Convolutional Neural Networks work

Machine Learning with Python Projects

Rock Paper Scissors
Cat and Dog Image Classifier
Book Recommendation Engine using KNN
Linear Regression Health Costs Calculator
Neural Network SMS Text Classifier

Admission details

To enrol in the Machine Learning with Python classes, go through these steps:

Step 1: Visit the programme URL: https://academy.topcoder.com/freeCodeCamp/machine-learning-with-python

Step 2: With accounts like Google or Github or any email Id, the candidates can start their sign-up.

Step 3: Learning begins as the sign up is completed by the candidates.

Filling the form

While joining Topcoder, a simple application form has to be completed by the participants. The form has small details to be filled in like email id, country of residence, full name, and a username that will allow further log in.

How it helps

The Machine Learning with Python certification benefits the candidates by making them aware of machine learning concepts and making them more competitive in their job fields. The candidates will be able to become more desirable, and competitive to their potential employers.

FAQs

Are there any prerequisites for the Machine Learning with Python online course?

The course content learning does not require any prerequisites from the candidates.

What no. of hours has to be completed for the course?

The course can easily get over by learning for 175 hours.

Who is the creator making this programme available to all the candidates?

The freeCodeCamp.org community is the programme creator.

For the 3 modules in the curriculum how many hours have to be invested for each one?

The 1st, 2nd, and 3rd modules are for 15 hours, 10 hours, and 150 hours.

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Machine Learning with Python

Online

175 Hours

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