Tech Entertaining

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372 videos

Welcome to my YouTube channel, where you'll find a wealth of information on the latest advancements in machine learning, deep learning, statistics, MLOps, an...

Latest Videos

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

23. Prophet Model for Time Series Forecasting Theory 📊⏳

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

21. ARIMA Model in Time Series Theory 📊⏳

20. ARMA Model in Time Series Theory 📊⏳

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

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

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

16. Time Series Average Demand Interval Understanding⏳📊

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

14. Time Series Metrics Evaluating Forecast Accuracy 📊⏳

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

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

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

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

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

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

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

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

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

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

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

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

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

1.⏱️ Time Series 101 Master the Basics! 📈

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

81. Handling Imbalanced Datasets Techniques and Implementation Guide ⚖️🔧

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

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

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