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. Machine Learning for Anomaly Detection
  10. ML | Semi-Supervised Learning
  11. How to approach a Machine Learning project : A step-wise guidance
  12. ML | Reinforcement Learning Algorithm : Python Implementation using Q-learning
  13. Getting started with Kaggle : A quick guide for beginners
  14. 6 Ways Machine Learning has revolutionized Video Game Industry
  15. Silhouette Algorithm to determine the optimal value of k
  16. Elbow Method for optimal value of k in KMeans
  17. Implementing DBSCAN algorithm using Sklearn
  18. Implementing Agglomerative Clustering using Sklearn
  19. ML | Implementing L1 and L2 regularization using Sklearn
  20. ML | ECLAT Algorithm
  21. Implementing Apriori algorithm in Python
  22. Q-learning Mathematical Background
  23. Deep Q-Learning
  24. Implementing Deep Q-Learning using Tensorflow
  25. SARSA Reinforcement Learning
  26. Asynchronous Advantage Actor Critic (A3C) algorithm
  27. ML | Auto-Encoders
  28. Building an Auto-Encoder using Keras
  29. Explanation of Fundamental Functions involved in A3C algorithm
  30. ML | Classifying Data using an Auto-encoder
  31. Building a Generative Adversarial Network using Keras
  32. Modal Collapse in GANs
  33. Recurrent Neural Networks Explanation
  34. Long Short Term Memory Networks Explanation
  35. Gated Recurrent Unit Networks
  36. Text Generation using Recurrent Long Short Term Memory Network
  37. ML | Variational Bayesian Inference for Gaussian Mixture
  38. ML | OPTICS Clustering Implementing using Sklearn
  39. ML | Text Generation using Gated Recurrent Unit Networks
  40. ML | OPTICS Clustering Explanation
  41. ML | V-Measure for Evaluating Clustering Performance
  42. ML | Spectral Clustering
  43. Chi-Square Test for Feature Selection - Mathematical Explanation
  44. ML | Fowlkes-Mallows Score
  45. ML | Types of Linkages in Clustering
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