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.