AlindGupta
AlindGupta
  1. Combining IoT and Machine Learning makes our future smarter
  2. Python | Linear Regression using sklearn
  3. Regularization in Machine Learning
  4. ML | Implementation of KNN classifier using Sklearn
  5. ML | Dummy classifiers using sklearn
  6. ML | Logistic Regression v/s Decision Tree Classification
  7. The true story about Facebook's closed AI Wing
  8. The Hathaway Effect : Does The Anne Hathaway effect really true?
  9. Targeted Advertising using Machine Learning
  10. Machine Learning for Anomaly Detection
  11. ML | Semi-Supervised Learning
  12. How to approach a Machine Learning project : A step-wise guidance
  13. ML | Reinforcement Learning Algorithm : Python Implementation using Q-learning
  14. Getting started with Kaggle : A quick guide for beginners
  15. 6 Ways Machine Learning has revolutionized Video Game Industry
  16. Silhouette Algorithm to determine the optimal value of k
  17. Elbow Method for optimal value of k in KMeans
  18. Implementing DBSCAN algorithm using Sklearn
  19. Implementing Agglomerative Clustering using Sklearn
  20. ML | Implementing L1 and L2 regularization using Sklearn
  21. ML | ECLAT Algorithm
  22. Implementing Apriori algorithm in Python
  23. Q-learning Mathematical Background
  24. Deep Q-Learning
  25. Implementing Deep Q-Learning using Tensorflow
  26. SARSA Reinforcement Learning
  27. Asynchronous Advantage Actor Critic (A3C) algorithm
  28. ML | Auto-Encoders
  29. Building an Auto-Encoder using Keras
  30. Explanation of Fundamental Functions involved in A3C algorithm
  31. ML | Classifying Data using an Auto-encoder
  32. Building a Generative Adversarial Network using Keras
  33. Modal Collapse in GANs
  34. Recurrent Neural Networks Explanation
  35. Long Short Term Memory Networks Explanation
  36. Gated Recurrent Unit Networks
  37. Text Generation using Recurrent Long Short Term Memory Network
  38. ML | Variational Bayesian Inference for Gaussian Mixture
  39. ML | OPTICS Clustering Implementing using Sklearn
  40. ML | Text Generation using Gated Recurrent Unit Networks
  41. ML | OPTICS Clustering Explanation
  42. ML | V-Measure for Evaluating Clustering Performance
  43. ML | Spectral Clustering
  44. Chi-Square Test for Feature Selection - Mathematical Explanation
  45. ML | Fowlkes-Mallows Score
  46. ML | Types of Linkages in Clustering
  47. ML | Frequent Pattern Growth Algorithm
  48. ML | Extra Tree Classifier for Feature Selection
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