Tech Entertaining

@UCdTUbmDKP5SpXaWArDCNdng - 10.3K subscribers

Welcome to my YouTube channel, where you'll find a wealth of information on the latest advancements in machine learning, deep learning, statistics, MLOps, and reinforcement learning. My channel is dedicated to providing in-depth tutorials and explanations of the most cutting-edge technologies in artificial intelligence. Whether you're a beginner looking to learn the basics of machine learning or a seasoned professional looking to stay up-to-date on the latest developments, my channel has something for everyone. I cover various topics, including supervised and unsupervised learning, natural language processing, computer vision, and more. So if you want to expand your knowledge and skills in artificial intelligence, subscribe to my channel. I'll be posting new content regularly, so you won't want to miss out! 👋 Feel free to book an appointment for a chat about anything and everything. Here's my Calendly link for easy scheduling: topmate.io/ramsundar_mahato/

Home Videos Live Playlists

24. Leveraging Machine Learning Algorithms for Time Series Forecasting 📊🤖⏳

24. Leveraging Machine Learning Algorithms for Time Series Forecasting 📊🤖⏳ Tech Entertaining

55 views - 6 months ago

23. Prophet Model for Time Series Forecasting: Theory 📊⏳

23. Prophet Model for Time Series Forecasting: Theory 📊⏳ Tech Entertaining

179 views - 6 months ago

22. SARIMA Model in Time Series: Seasonal Forecasting Made Easy 📊⏳

22. SARIMA Model in Time Series: Seasonal Forecasting Made Easy 📊⏳ Tech Entertaining

213 views - 6 months ago

21. ARIMA Model in Time Series: Theory 📊⏳

21. ARIMA Model in Time Series: Theory 📊⏳ Tech Entertaining

117 views - 7 months ago

20. ARMA Model in Time Series: Theory 📊⏳

20. ARMA Model in Time Series: Theory 📊⏳ Tech Entertaining

77 views - 7 months ago

19. Introduction to Time Series Models: Understanding Forecasting Techniques ⏳📊

19. Introduction to Time Series Models: Understanding Forecasting Techniques ⏳📊 Tech Entertaining

58 views - 7 months ago

18. ABC Analysis for Time Series: Prioritizing Demand for Better Forecasting 📊⏳

18. ABC Analysis for Time Series: Prioritizing Demand for Better Forecasting 📊⏳ Tech Entertaining

40 views - 7 months ago

17. Average Demand Interval (ADI) Implementation in Time Series: Python Guide ⏳📊

17. Average Demand Interval (ADI) Implementation in Time Series: Python Guide ⏳📊 Tech Entertaining

106 views - 7 months ago

16. Time Series Average Demand Interval: Understanding⏳📊

16. Time Series Average Demand Interval: Understanding⏳📊 Tech Entertaining

80 views - 8 months ago

15. Time Series Metrics Implementation: Evaluate Forecast Accuracy in Python 📊💻

15. Time Series Metrics Implementation: Evaluate Forecast Accuracy in Python 📊💻 Tech Entertaining

81 views - 8 months ago

14. Time Series Metrics: Evaluating Forecast Accuracy 📊⏳

14. Time Series Metrics: Evaluating Forecast Accuracy 📊⏳ Tech Entertaining

93 views - 8 months ago

12. ACF vs. PACF Implementation: A Hands-On Guide in Python 📊💻

12. ACF vs. PACF Implementation: A Hands-On Guide in Python 📊💻 Tech Entertaining

61 views - 8 months ago

13. Incorporating External Factors in Time Series Analysis: Impact & Implementation ⏳📊

13. Incorporating External Factors in Time Series Analysis: Impact & Implementation ⏳📊 Tech Entertaining

58 views - 8 months ago

11. ACF vs. PACF: Understanding AutoCorrelation in Time Series 📊🔍

11. ACF vs. PACF: Understanding AutoCorrelation in Time Series 📊🔍 Tech Entertaining

270 views - 9 months ago

10 . How to Convert Non-Stationary Time Series to Stationary: Methods & Implementation ⏳🔄

10 . How to Convert Non-Stationary Time Series to Stationary: Methods & Implementation ⏳🔄 Tech Entertaining

328 views - 9 months ago

9. Stationary vs. Non-Stationary Time Series: Methods to Detect & Convert ⏳📊

9. Stationary vs. Non-Stationary Time Series: Methods to Detect & Convert ⏳📊 Tech Entertaining

165 views - 9 months ago

8. ⚖️ Stationary vs. Non-Stationary: Demystified! 🌀

8. ⚖️ Stationary vs. Non-Stationary: Demystified! 🌀 Tech Entertaining

83 views - 9 months ago

7. Time Series Feature Engineering: Hands-On Implementation in Python ⏳💻

7. Time Series Feature Engineering: Hands-On Implementation in Python ⏳💻 Tech Entertaining

257 views - 10 months ago

6. Time Series Feature Engineering: Extracting Powerful Temporal Insights ⏳📊

6. Time Series Feature Engineering: Extracting Powerful Temporal Insights ⏳📊 Tech Entertaining

164 views - 10 months ago

5. Time Series Decomposition: Additive vs. Multiplicative Implementation in Python ⏳💻

5. Time Series Decomposition: Additive vs. Multiplicative Implementation in Python ⏳💻 Tech Entertaining

220 views - 10 months ago

4. ➕✖️ Additive vs. Multiplicative: Time Series Secrets! 🤫

4. ➕✖️ Additive vs. Multiplicative: Time Series Secrets! 🤫 Tech Entertaining

450 views - 10 months ago

Live - End-to-End Fraud Detection Project: From Data to Deployment on Azure🚀🔍

Live - End-to-End Fraud Detection Project: From Data to Deployment on Azure🚀🔍 Tech Entertaining

1.7K views - 10 months ago

3. Time Series Decomposition: Breaking Down Trends, Seasonality & Noise ⏳📊

3. Time Series Decomposition: Breaking Down Trends, Seasonality & Noise ⏳📊 Tech Entertaining

151 views - 10 months ago

2. 🔮 Forecasting vs. Prediction: What's the REAL Difference? 🤔

2. 🔮 Forecasting vs. Prediction: What's the REAL Difference? 🤔 Tech Entertaining

178 views - 11 months ago

1.⏱️ Time Series 101: Master the Basics! 📈

1.⏱️ Time Series 101: Master the Basics! 📈 Tech Entertaining

195 views - 11 months ago

82. Gaussian Mixture Models (GMM): Theory and Implementation Guide 📚💻

82. Gaussian Mixture Models (GMM): Theory and Implementation Guide 📚💻 Tech Entertaining

202 views - 11 months ago

81. Handling Imbalanced Datasets: Techniques and Implementation Guide ⚖️🔧

81. Handling Imbalanced Datasets: Techniques and Implementation Guide ⚖️🔧 Tech Entertaining

113 views - 1 year ago

80. Sampling Techniques in Machine Learning: Methods and Applications 📊🔍

80. Sampling Techniques in Machine Learning: Methods and Applications 📊🔍 Tech Entertaining

107 views - 1 year ago

Movie and Book Recommendation Project: Weighted Average & TF-IDF Implementation 🎬📚🔍

Movie and Book Recommendation Project: Weighted Average & TF-IDF Implementation 🎬📚🔍 Tech Entertaining

169 views - 1 year ago

Movie and Book Recommendation System Project: Part 2 - Complete Implementation Guide 🎬📚🚀

Movie and Book Recommendation System Project: Part 2 - Complete Implementation Guide 🎬📚🚀 Tech Entertaining

125 views - 1 year ago

Movie and Book Recommendation System Project: Part 1 - Building the Foundation 🎬📚

Movie and Book Recommendation System Project: Part 1 - Building the Foundation 🎬📚 Tech Entertaining

268 views - 1 year ago

76. Hybrid Recommendation Systems: Implementation Guide for Combining Filtering Methods 📚🔄

76. Hybrid Recommendation Systems: Implementation Guide for Combining Filtering Methods 📚🔄 Tech Entertaining

375 views - 1 year ago

75. Collaborative & Content-Based Filtering: Hands-On Implementation Guide 📚💻

75. Collaborative & Content-Based Filtering: Hands-On Implementation Guide 📚💻 Tech Entertaining

201 views - 1 year ago

74. Recommendation Systems Explained: Types and Applications 📊✨

74. Recommendation Systems Explained: Types and Applications 📊✨ Tech Entertaining

160 views - 1 year ago

73. Implementing GOSS and EFB with LightGBM: A Practical Guide 🌟💻

73. Implementing GOSS and EFB with LightGBM: A Practical Guide 🌟💻 Tech Entertaining

226 views - 1 year ago

72. Understanding LGBM: Theory Behind LightGBM for Efficient Gradient Boosting 🌟📊

72. Understanding LGBM: Theory Behind LightGBM for Efficient Gradient Boosting 🌟📊 Tech Entertaining

875 views - 1 year ago

71. Tree Growth in Tree-Based Algorithms: Understanding How Decision Trees Evolve 🌳📈

71. Tree Growth in Tree-Based Algorithms: Understanding How Decision Trees Evolve 🌳📈 Tech Entertaining

49 views - 1 year ago

70. CatBoost: Theory and Implementation Guide for Gradient Boosting 🌟💻

70. CatBoost: Theory and Implementation Guide for Gradient Boosting 🌟💻 Tech Entertaining

477 views - 1 year ago

69. XGBoost Implementation: Step-by-Step Guide to Building Powerful Models 🚀💻

69. XGBoost Implementation: Step-by-Step Guide to Building Powerful Models 🚀💻 Tech Entertaining

210 views - 1 year ago

68. XGBoost Explained: Theory Behind the Powerful Gradient Boosting Algorithm 🚀📈

68. XGBoost Explained: Theory Behind the Powerful Gradient Boosting Algorithm 🚀📈 Tech Entertaining

154 views - 1 year ago

67. Interpretability vs. Explainability: Understanding and Applying Both in Machine Learning 🔍✨

67. Interpretability vs. Explainability: Understanding and Applying Both in Machine Learning 🔍✨ Tech Entertaining

57 views - 1 year ago

66. Hyperparameter Tuning: Practical Implementation with Grid Search & Random Search 🎯💻

66. Hyperparameter Tuning: Practical Implementation with Grid Search & Random Search 🎯💻 Tech Entertaining

47 views - 1 year ago

65. Mastering Hyperparameter Tuning: Techniques for Optimizing Machine Learning Models 🎯💡

65. Mastering Hyperparameter Tuning: Techniques for Optimizing Machine Learning Models 🎯💡 Tech Entertaining

132 views - 1 year ago

64. Random Forest Implementation: Step-by-Step Guide From scratch and with Scikit-learn 🌳💻

64. Random Forest Implementation: Step-by-Step Guide From scratch and with Scikit-learn 🌳💻 Tech Entertaining

146 views - 1 year ago

63. Understanding Random Forest: Theory Behind This Powerful Algorithm 🌳🌟

63. Understanding Random Forest: Theory Behind This Powerful Algorithm 🌳🌟 Tech Entertaining

74 views - 1 year ago

62. Ensemble Learning: Mastering Bagging and Boosting Techniques 🌟🤖

62. Ensemble Learning: Mastering Bagging and Boosting Techniques 🌟🤖 Tech Entertaining

76 views - 1 year ago

61. Decision Tree Implementation: From Scratch & Using Scikit-learn 🌳💻

61. Decision Tree Implementation: From Scratch & Using Scikit-learn 🌳💻 Tech Entertaining

223 views - 1 year ago

60. Decision Trees Explained The Theory Behind This Powerful Algorithm 🌳🔍

60. Decision Trees Explained The Theory Behind This Powerful Algorithm 🌳🔍 Tech Entertaining

85 views - 1 year ago

59. Implementing LDA & SVD Algorithms: A Step-by-Step Guide to Dimensionality Reduction 🛠️

59. Implementing LDA & SVD Algorithms: A Step-by-Step Guide to Dimensionality Reduction 🛠️ Tech Entertaining

55 views - 1 year ago

58. LDA vs SVD: In-Depth Theory Behind Two Powerful Dimensionality Reduction Algorithms 📚🔍

58. LDA vs SVD: In-Depth Theory Behind Two Powerful Dimensionality Reduction Algorithms 📚🔍 Tech Entertaining

85 views - 1 year ago

57. Mastering t-SNE: Theory and Practical Implementation for Data Visualization 🌟🔍

57. Mastering t-SNE: Theory and Practical Implementation for Data Visualization 🌟🔍 Tech Entertaining

103 views - 1 year ago

56. The Need for Dimensionality Reduction: Exploring PCA (Principal Component Analysis) 🔍📉

56. The Need for Dimensionality Reduction: Exploring PCA (Principal Component Analysis) 🔍📉 Tech Entertaining

74 views - 1 year ago

55. Correlation & Covariance: Understanding Key Differences and Applications 🔍🔢

55. Correlation & Covariance: Understanding Key Differences and Applications 🔍🔢 Tech Entertaining

47 views - 1 year ago

54. Implementing Hard & Soft Margin SVM: A Comprehensive Guide 🛠️🔍

54. Implementing Hard & Soft Margin SVM: A Comprehensive Guide 🛠️🔍 Tech Entertaining

125 views - 1 year ago

53. Fit vs Transform: Understanding the Core Concepts in Machine Learning Preprocessing 🔄🔍

53. Fit vs Transform: Understanding the Core Concepts in Machine Learning Preprocessing 🔄🔍 Tech Entertaining

63 views - 1 year ago

52. Hands-On Guide to Implementing Support Vector Machines (SVM) 🛠️🔍

52. Hands-On Guide to Implementing Support Vector Machines (SVM) 🛠️🔍 Tech Entertaining

111 views - 1 year ago

51. Understanding Support Vector Machines (SVM): A Theoretical Guide 📚🔍

51. Understanding Support Vector Machines (SVM): A Theoretical Guide 📚🔍 Tech Entertaining

75 views - 1 year ago

50. Tackling the Curse of Dimensionality in KNN: Theory and Implementation 📏🔍

50. Tackling the Curse of Dimensionality in KNN: Theory and Implementation 📏🔍 Tech Entertaining

73 views - 1 year ago

49. Optimizing KNN Clustering: Finding the Best K and Practical Implementation 🔍🔢

49. Optimizing KNN Clustering: Finding the Best K and Practical Implementation 🔍🔢 Tech Entertaining

47 views - 1 year ago

48. Understanding KNN Clustering: Intuition and Overcoming Challenges 🔍🔢

48. Understanding KNN Clustering: Intuition and Overcoming Challenges 🔍🔢 Tech Entertaining

48 views - 1 year ago