Machine Learning Trainee

Machine Learning with Python Traineeship is a self paced 4 week Industrial Training program with mentorship support.

Program Description

Master the essential skills to land a job as a machine learning scientist! You’ll augment your Python programming skill set with the toolbox to perform supervised, unsupervised, and deep learning. You’ll learn how to process data for features, train your models, assess performance, and tune parameters for better performance. In the process, you’ll get an introduction to natural language processing, image processing, and popular libraries such as Spark and Keras.

What we cover in 4 weeks.

Week 1 – 3

Supervised Learning with scikit-learn

Unsupervised Learning in Python

Linear Classifiers in Python

Machine Learning with Tree-Based Models in Python

Extreme Gradient Boosting with XGBoost

Cluster Analysis in Python

Dimensionality Reduction in Python

Processing for Machine Learning in Python

Machine Learning for Time Series Data in Python

Feature Engineering for Machine Learning in Python

Model Validation in Python

Introduction to Natural Language Processing in Python

Feature Engineering for NLP in Python

Introduction to TensorFlow in Python

Introduction to Deep Learning in Python

Introduction to Deep Learning with Keras

Advance Deep Learning with Keras

Image Processing in Python

Image Processing with Keras in Python

Hyperparameter Tuning in Python

Introduction to Pyspark

Machine Learning with Pyspark

Winning a Kaggle Competition in Python

Week 4

Capstone Project

Program Benefits

Certificate of Completion

Letter of Recommendation

Complete this course while you work

Rigorous curriculum designed by industry experts

Best performers will also be offered a job within the company.

Job Category: Data Analysis Development
Job Type: Traineeship
Job Location: Remote

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