Datacamp – Machine Learning Scientist with Python 2023-8

Machine Learning Scientist with Python, Master the essential Python skills to land a job as a machine learning scientist. With this track, you’ll gain a comprehensive introduction to machine learning in Python. You’ll augment your existing Python programming skill set with the tools needed 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. This track also covers topics including tree-based machine learning models, cluster analysis, preprocessing for machine learning, and more. By the time you finish, you’ll have the confidence to use Python for machine learning, working with real data sets, linear classifiers, gradient boosting, and more. In the process, you’ll get an introduction to natural language processing, image processing, and popular Python machine learning packages such as scikit-learn, Spark, and Keras.

What you’ll learn

• 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
• Dimensionality Reduction in Python
• Preprocessing 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 with Keras
• Image Processing in Python
• Image Processing with Keras in Python
• Hyperparameter Tuning in Python
• Introduction to PySpark
• Machine Learning with PySpark

Specificatoin of Machine Learning Scientist with Python

• Publisher : Datacamp
• Teacher : George Boorman , Richie Cotton
• Language : English
• Level : All Levels
• Number of Course : 23
• Duration : 93 hours and 0 minutes

Content of Machine Learning Scientist with Python

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Subtitle : English

Quality: 720p

This Skill consist of 23 courses

Download Links

Supervised Learning with scikit-learn
Download – 87 MB

Unsupervised Learning in Python
Download – 117 MB

Linear Classifiers in Python
Download – 79 MB

Machine Learning with Tree-Based Models in Python

Download – 88 MB

Extreme Gradient Boosting with XGBoost
Download – 147 MB

Cluster Analysis in Python
Download – 66 MB

Dimensionality Reduction in Python
Download – 81 MB

Preprocessing for Machine Learning in Python

Download – 52 MB

Machine Learning for Time Series Data in Python

Download – 83 MB

Feature Engineering for Machine Learning in Python
Download – 132 MB

Model Validation in Python
Download – 65 MB

Introduction to Natural Language Processing in Python

Download – 95 MB

Feature Engineering for NLP in Python
Download – 73 MB

Introduction to TensorFlow in Python
Download – 85 MB

Introduction to Deep Learning in Python
Download – 133 MB

Introduction to Deep Learning with Keras
Download – 88 MB

Advanced Deep Learning with Keras
Download – 132 MB

Image Processing in Python
Download – 132 MB

Image Processing with Keras in Python
Download – 162 MB

Hyperparameter Tuning in Python
Download – 73 MB

Introduction to PySpark
Download – 273 KB

Machine Learning with PySpark
Download – 105 MB

Winning a Kaggle Competition in Python

Download – 73 MB

File size

2.1 GB