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All Projects → Anubhavdevv → Awesome-Machine-Learning-Models

Anubhavdevv / Awesome-Machine-Learning-Models

Licence: MIT license
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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. 😎

hacktobefest-2021

DataScience and Machine-Learning Roadmap 😎

68747470733a2f2f7170682e66732e71756f726163646e2e6e65742f6d61696e2d71696d672d3637363130313064303137363262633930353438363038616564353966313133

Show some ❤️ by starring this repo! ⭐

Define 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 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

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