Complete Time Series Analysis Course for Data Analysts and Data Scientist | Time Series Forecasting - Model Evaluation Metrics | MAE | MAPE | MSE | RMSE | AIC | BIC | Part 12

This video is a part 12 of the complete Time Series Analysis Playlist for Data Analysts and Data Scientists and covers following topics: 1. Mean Absolute Error (MAE) 2. Mean Squared Error (MSE) 3. Root Mean Squared Error (RMSE) 4. Mean Absolute Percentage Error (MAPE) 5. Akaike Information Criterion (AIC) 6. Bayesian Information Criterion (BIC) 7. Python Implementation 📈 Complete Time Series Analysis eBook (Written by me covering all topics): https://topmate.io/ayushi_mishra/1229949 👍 Subscribe for more Data Science content: https://bit.ly/48MFgCf 🔥 Book 1:1 call with me (Career Guidance, Resume Review, LinkedIn Profile Review) : https://topmate.io/ayushi_mishra/133733 ➖➖➖➖➖➖➖➖➖➖➖➖➖ ✅ Job Preparation and Interview Guide: https://topmate.io/ayushi_mishra/842027 ➖➖➖➖➖➖➖➖➖➖➖➖➖ Follow me on: ✅LinkedIn: https://www.linkedin.com/in/ayushi-mishra-30813b174 ✅Instagram: https://www.instagram.com/techie.data/ 🧑‍🏫 Other Useful Videos: Data Analyst Roadmap: https://youtu.be/MKncxvvRJXM Data Analysis Project using Python: https://youtu.be/obJZ1rB7TKc Python vs R: Which is best for career? : https://youtu.be/BWqDEB3hvRY Data Analysis Project using Python and SQL: https://youtu.be/LcMjsqZiSjY Complete Statistics Course for Data Analysts and Data Scientists: https://youtu.be/S7LvZZNq4ys #mae #mape #mse #rmse #aic #bic