/Awesome-Machine-Learning-Models

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You are welcome to contribute to this repository, you can contribute your repository of machine learning models, learning, and projects in the AI and ML fields. 😎

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DataScience and Machine-Learning Roadmap 😎

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Define Goal : PRODUCTS or ALGORITHMS

RESOURCES

Maths

  • Linear Algebra (Matrix, Vector)

  • Statistics

  • Probability

Learn Python & its Libraries

  • Numpy

  • Pandas

Learn ML Algorithms

  • Supervised vs Unsupervised vs Reinforcement

  • Linear RegressionDefine Goal : PRODUCTS or ALGORITHMS

Maths

  • Linear Algebra (Matrix, Vector)

  • Statistics

  • Probability

Learn Python & its Libraries

  • Numpy

  • Pandas

Learn ML Algorithms

  • Supervised vs Unsupervised vs Reinforcement

  • Linear Regression, Logistic Regression, Clustering

  • KNN (K Nearest Neighbours)

  • SVM (Support Vector Machine)

  • Decision Trees

  • Random Forests

  • Overfitting, Underfitting

  • Regularization, Gradient Descent, Slope

  • Confusion Matrix

Data Preprocessing (for higher accuracy)

  • Handling Null Values

  • Standardization

  • Handling Categorical Values

  • One-Hot Encoding

  • Feature Scaling

Learn ML libraries

  • Scikit learn

  • Matplotlib

  • Tensorflow for DL

1) Practice and participate in various competetions of kaggle

2) Explore projects on Github

Resources :

Mathematics-1

Mathematics-2

Mathematics-2

Machine Learning Course by Google

Python Basics

Stanford Course by Andrew ng

Made With ML

Data Preprocessing

Scikit Learn

Tensorflow

Kaggle

ml-engineer