Machine Learning Algorithms with Python

All Machine Learning Algorithms Explained with Python.

In this article, I will take you through an explanation and implementation of all Machine Learning algorithms with Python programming language. 

Machine learning algorithms are a set of instructions for a computer on how to interact with, manipulate, and transform data. There are so many types of machine learning algorithms. Selecting the right algorithm is both science and art.

All Machine Learning Algorithms with Python

  1. VisualKeras for Visualizing a Neural Network
  2. Stochastic Gradient Descent
  3. Explained Variance
  4. F-Beta Score
  5. Classification Report
  6. Passive Aggressive Regression
  7. R2 Score
  8. Lazy Predict
  9. Assumptions of Machine Learning Algorithms
  10. Missing Values Calculation
  11. t-SNE Algorithm
  12. AutoKeras Tutorial
  13. Bias and Variance
  14. Perceptron
  15. Class Balancing Techniques
  16. One vs All & One vs One
  17. Polynomial Regression
  18. BIRCH Clustering
  19. Independent Component Analysis
  20. Kernel PCA
  21. Sparse PCA
  22. Non Negative Matrix Factorization
  23. Neural Networks Tutorial
  24. PyCaret
  25. Scikit-learn Tutorial
  26. NLTK Tutorial
  27. TextBlob Tutorial
  28. Streamlit Tutorial
  29. DBSCAN Clustering
  30. Naive Bayes
  31. Passive Aggressive Classifier
  32. Gradient Boosting (Used in implementing the Instagram Algorithm)
  33. Logistic Regression
  34. Linear Regression
  35. K-Means Clustering
  36. Dimensionality Reduction
  37. Principal Component Analysis
  38. Automatic EDA
  39. Feature Scaling
  40. Apriori Algorithm
  41. K Nearest Neighbor
  42. CatBoost
  43. SMOTE
  44. Hypothesis Testing (Commonly used in Outlier Detection)
  45. Content-Based Filtering
  46. Collaborative Filtering
  47. Cosine Similarity
  48. Tf-Idf Vectorization
  49. Cross-Validation
  50. Confusion Matrix
  51. 4 Graph Algorithms (Connected Components, Shortest Path, Pagerank, Centrality Measures)
  52. Ridge and Lasso Regression
  53. StandardScaler
  54. SARIMA
  55. ARIMA
  56. Auc and ROC Curve
  57. XGBoost Algorithm
  58. Long Short Term Memory (LSTM)
  59. One Hot Encoding
  60. Bidirectional Encoder Representations from Transformers (BERT)
  61. Facebook Prophet
  62. NeuralProphet
  63. AdaBoost Algorithm
  64. Random Forest Algorithm
  65. H2O AutoML
  66. Polynomial Regression
  67. Gradient Descent Algorithm
  68. Grid Search Algorithm
  69. Manifold Learning
  70. Decision Trees
  71. Support Vector Machines
  72. Neural Networks
  73. FastAI
  74. LightGBM
  75. Pyforest Tutorial

All the above algorithms are explained properly by using the python programming language. These were the common and most used machine learning algorithms. We will update this article with more algorithms soon. I hope you liked this article on all machine learning algorithms with Python programming language. Feel free to ask your valuable questions in the comments section below.

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Aman Kharwal
Coder with the ♥️ of a Writer || Data Scientist | Solopreneur | Founder
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