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Machine Learning

Machine Learning

19 Courses 800 Hours

All courses

100 Pandas Exercises

100 Pandas Exercises

100 NumPy Exercises

100 NumPy Exercises

Draw 2D and 3D Graphics with Matplotlib

Draw 2D and 3D Graphics with Matplotlib

Supervised Learning: Regression

Supervised Learning: Regression

Supervised Learning: Classification

Supervised Learning: Classification

Unsupervised Learning: Clustering

Unsupervised Learning: Clustering

Reinforcement Learning

Reinforcement Learning

Foundations of Deep Learning

Foundations of Deep Learning

Deep Learning

LabEx Machine Learning Environment Tutorial

LabEx Machine Learning Environment Tutorial

TensorFlow 2: Basics and Practices of Deep Learning

TensorFlow 2: Basics and Practices of Deep Learning

SciPy: Basics of Scientific Calculations

SciPy: Basics of Scientific Calculations

Automated Machine Learning

Automated Machine Learning

Basic of XGBoost

Basic of XGBoost

FAST.AI: Practices of Deep Learning

FAST.AI: Practices of Deep Learning

NumPy: Basics of Numerical Calculation

NumPy: Basics of Numerical Calculation

Pandas: Basics of Data Analysis.

Pandas: Basics of Data Analysis.

Seaborn: Basics of Data Visualization

Seaborn: Basics of Data Visualization

Foundations of Artificial Neural Network

Foundations of Artificial Neural Network

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