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- 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
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- FreeCodeCamp
- Courses
- Machine Learning with Python
Machine Learning with Python
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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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.
The highlights
- 175 hours of study
- Certificate by freeCodeCamp
- Small course
- Skill development course
Program offerings
- 3-course modules
- Login to start
- Short course
Course and certificate fees
certificate availability
Yes
certificate providing authority
Topcoder
Who it is for
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
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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