Machine-Learning-Scientist-with-Python-by-DataCamp

Python programming skill set with the toolbox to perform supervised, unsupervised, and deep learning, learn how to process data for features, train your models, assess performance, and tune parameters for better performance. natural language processing, image processing, and popular libraries such as Spark and Keras.

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
1-Supervised Learning with scikitlearn		1-Supervised Learning with scikitlearn
10- Feature Engineering for Machine Learning in Python		10- Feature Engineering for Machine Learning in Python
11- Model Validation in Python		11- Model Validation in Python
12- Introduction to Natural Language Processing in Python		12- Introduction to Natural Language Processing in Python
13- Feature Engineering for NLP in Python		13- Feature Engineering for NLP in Python
14-Introduction to TensorFlow in Python		14-Introduction to TensorFlow in Python
15- Introduction to Deep Learning in Python		15- Introduction to Deep Learning in Python
16-Introduction to Deep Learning with Keras		16-Introduction to Deep Learning with Keras
17-Advanced Deep Learning with Keras		17-Advanced Deep Learning with Keras
2-Unsupervised Learning in Python		2-Unsupervised Learning in Python
21- Introduction to PySpark		21- Introduction to PySpark
3-Linear Classifiers in Python		3-Linear Classifiers in Python
4-Machine Learning with Tree-Based Models in Python		4-Machine Learning with Tree-Based Models in Python
5- Extreme Gradient Boosting with XGBoost		5- Extreme Gradient Boosting with XGBoost
6-Clustering Methods with SciPy		6-Clustering Methods with SciPy
7-Dimensionality Reduction in Python		7-Dimensionality Reduction in Python
8-Preprocessing for Machine Learning in Python		8-Preprocessing for Machine Learning in Python
9- Machine Learning for Time Series Data in Python		9- Machine Learning for Time Series Data in Python
Data_set		Data_set
README.md		README.md

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