Machine Learning

Machine Learning

5 Minutes Engineering via YouTube Direct link

How Much Data Do I Need in Machine learning Explained in Hindi

50 of 69

50 of 69

How Much Data Do I Need in Machine learning Explained in Hindi

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Machine Learning

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  1. 1 Introduction To Machine Learning ll Machine Learning Course Explained With RealLife Examples (Hindi)
  2. 2 Classic Machine And Adaptive Machine ll Machine Learning Course Explained in Hindi
  3. 3 Basics Of Training And Testing Phase ll Machine Learning Course Explained in Hindi
  4. 4 Overfitting and Underfitting Explained with Examples in Hindi ll Machine Learning Course
  5. 5 Feature Selection Techniques Explained with Examples in Hindi ll Machine Learning Course
  6. 6 MultiClass Classification Approaches ll One Vs All and One Vs One Classification Explained in Hindi
  7. 7 Basics Of Principal Component Analysis Explained in Hindi ll Machine Learning Course
  8. 8 Principal Component Analysis(PCA) Part-2 Explained with Solved Example in Hindi l Machine Learning
  9. 9 Principal Component Analysis Part-3 Explained with Solved Explained in Hindi l Machine Learning
  10. 10 Regression Analysis l Dependent And Independent Variables (HINDI)
  11. 11 Linear Regression And Logistic Regression Explained in HINDI
  12. 12 Confusion Matrix ll Accuracy,Error Rate,Precision,Recall Explained with Solved Example in Hindi
  13. 13 Curse Of Dimensionality Explained with Examples in Hindi ll Machine Learning Course
  14. 14 Managing Missing Features Explained with Examples in Hindi ll Machine Learning Course
  15. 15 Managing Categorial Data Explained with Examples in Hindi ll Machine Learning Course
  16. 16 Linear Regression Explained in Hindi ll Machine Learning Course
  17. 17 Logistic Regression Explained in Hindi
  18. 18 Polynomial Regression Explained in Hindi ll Machine Learning Course
  19. 19 Ridge Regression Explained in Hindi ll Machine Learning Course
  20. 20 Lasso Regression Explained in Hindi ll Machine Learning Course
  21. 21 Elastic Net Regression Explained in Hindi ll Machine Learning Course
  22. 22 Conditional Probability Explained with Solved Example and Sample Space in Hindi
  23. 23 Bayes Theorem Explained with Solved Example in Hindi ll Machine Learning Course
  24. 24 Naive Bayes Classifier ll Data Mining And Warehousing Explained with Solved Example in Hindi
  25. 25 Back Propagation Algorithm /Back Propagation Of Error (Part-1)Explained With Solved Example in Hindi
  26. 26 Back Propagation Algorithm (Part-2) Explained with Solved Example in Hindi
  27. 27 Back Propagation Algorithm (Part-3) Explained With Solved Example in Hindi
  28. 28 Back Propagation Algorithm (Part-4) Explained with Solved Example in Hindi
  29. 29 Naive Bayes Variants : Bernoulli Naive Bayes l Bernoulli Distribution Explained in Hindi
  30. 30 Naive Bayes Variants : Multinomial Naive Bayes l Multinomial Distribution Explained in Hindi
  31. 31 Naive Bayes Variants : Gaussian Naive Bayes Explained in Hindi
  32. 32 Support Vector Machine (SVM) Part-1 ll Machine Learning Course Explained in Hindi
  33. 33 Support Vector Machine (SVM) Part-2 ll Machine Learning Course Explained in Hindi
  34. 34 Non-Linear Support Vector Machine (SVM) And Kernel Function ll Machine Learning Course in Hindi
  35. 35 Decision Tree Algorithm Part-1 Explained With Example ll DMW ll ML Easiest Explanation Ever in Hindi
  36. 36 Decision Tree Algorithm Part-2 ll Constructing of Decision Tree ll ML ll DMW Explained in Hindi
  37. 37 Ensemble Learning l Machine Learning Course Easiest Explanation Ever in Hindi
  38. 38 Ensemble Method : Bagging (Bootstrap Aggregation) l Machine Learning Course in Hindi
  39. 39 Ensemble Method : Boosting ll Machine Learning Course Explained in Hindi
  40. 40 Voting Classifier : Hard Voting and Soft Voting Explained with Examples in Hindi ll Machine Learning
  41. 41 Random Forest Step-Wise Explanation ll Machine Learning Course Explained in Hindi
  42. 42 DBSCAN (Density Based Spatial Clustering Of Applications with Noise) ll Machine Learning (Hindi)
  43. 43 K means Clustering Algorithm Explained With an Example Easiest And Quickest Way Ever In Hindi
  44. 44 Hierarchical Clustering : Agglomerative Clustering and Divisive Clustering Explained in Hindi
  45. 45 Agglomerative Clustering (Single Linkage) Part-1 Explained with Solved Example in Hindi
  46. 46 Agglomerative Clustering (Single Linkage) Part-2 Explained with Solved Example in Hindi
  47. 47 Agglomerative Clustering (Complete Linkage) Explained with Solved Example in Hindi
  48. 48 Recommendation System : Content Based Recommendation and Collaborative Filtering Explained in Hindi
  49. 49 Data in Machine Learning Explained in Hindi
  50. 50 How Much Data Do I Need in Machine learning Explained in Hindi
  51. 51 Bias and Variance Explained in Hindi l Machine Learning Course
  52. 52 Bias-Variance Trade-Off Explained in Hindi l Machine Learning Course
  53. 53 Linear Regression Solved Numerical Part-1 Explained in Hindi l Machine Learning Course
  54. 54 Linear Regression Solved Numerical Part-2 Explained in Hindi l Machine Learning Course
  55. 55 Recurrent Neural Network (RNN) Part-1 Explained in Hindi
  56. 56 Recurrent Neural Network (RNN) Part-2 Explained in Hindi
  57. 57 Loading Data Using Pandas Explained in Hindi l Machine Learning Course
  58. 58 Understanding Data Using Statistics Explained in Hindi l Machine Learning Course
  59. 59 Visualization of Data Using Matplotlib Part-1 Explained in Hindi l Machine Learning Course
  60. 60 Visualization of Data Using Matplotlib Part-2 Explained in Hindi l Machine Learning Course
  61. 61 Data Preprocessing Techniques : Normalization Explained with Python in Hindi l Machine Learning
  62. 62 Data Preprocessing Techniques : Standardization Explained with Python in Hindi l Machine Learning
  63. 63 Data Preprocessing Techniques : Binarization Explained with Python in Hindi l Machine Learning
  64. 64 Training and Testing data Explained in Hindi with Python in Hindi l Machine Learning Course
  65. 65 Linear Regression Single Variable Explained with Python in Hindi l Machine Learning Course
  66. 66 Linear Regression Multiple Variables Explained with Python in Hindi l Machine Learning Course
  67. 67 Logistic Regression Explained with Python in Hindi l Machine Learning Course
  68. 68 K Means Clustering Implementation with Python Part-1 Explained in Hindi l Machine Learning Course
  69. 69 K Means Clustering Implementation with Python Part-2 Explained in Hindi l Machine Learning Course

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