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Udemy Data Science Mastery 10 in 1 Data Interview Projects showoff FreeCourseWeb

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Files:
  1. Get Bonus Downloads Here.url 183 bytes
  2. 1. Introduction.mp4 74.2 MB
  3. 1. 1. Introducing Fraud Detection and Conducting Exploratory Data Analysis..mp4 35.1 MB
  4. 2. 2. Model Building for Fraud Detection..mp4 42.7 MB
  5. 3. 3. Advanced Techniques for Fraud Detection..mp4 103.0 MB
  6. 4. 4. Model Evaluation and Interpretability..mp4 33.8 MB
  7. 5. 5. Model Deployment..mp4 32.6 MB
  8. 1. 1. Introduction to House Prices Prediction..mp4 104.1 MB
  9. 2. 2. Housing Data Processing & Cleaning For ML Model..mp4 123.8 MB
  10. 3. 3. Doing EDA (Exploratory Data Analysis) Using Data Visualization..mp4 33.4 MB
  11. 4. 4. Building Model for the Housing Data..mp4 19.8 MB
  12. 5. 5. Validating Our Model..mp4 29.0 MB
  13. 1. 1. Visual Exploring of Google App Store Data..mp4 60.9 MB
  14. 2. 2. Data Cleaning and Preprocessing of Google App Store Data..mp4 46.1 MB
  15. 3. 3. Data Visualization Techniques..mp4 97.0 MB
  16. 4. 4. Statistical Analysis and Hypothesis Testing..mp4 49.8 MB
  17. 5. 5. Data Storytelling..mp4 51.7 MB
  18. 6. 6. Conclusion..mp4 66.6 MB
  19. 1. 1. Introduction to Sentiment Analysis & NLP..mp4 80.6 MB
  20. 2. 2. Text Preprocessing for Sentiment Analysis..mp4 108.9 MB
  21. 3. 3. Feature Extraction for Sentiment Analysis..mp4 78.3 MB
  22. 4. 4. Building Sentiment Analysis Models..mp4 29.8 MB
  23. 5. 5. Evaluation of Sentiment Analysis Models..mp4 38.9 MB
  24. 1. 1. Introduction to Predictive Modeling and Machine Learning..mp4 29.1 MB
  25. 2. 2. Data Exploration and Preprocessing of the Titanic Dataset..mp4 42.4 MB
  26. 3. 3. Model Selection and Evaluation of The Titanic Dataset..mp4 31.3 MB
  27. 4. 4. Model Training and Hyperparameter Tuning of The Titanic Dataset..mp4 59.5 MB
  28. 5. 5. Deployment of The Predictive Models of The Titanic Dataset..mp4 61.5 MB
  29. 1. 1. Introduction..mp4 33.7 MB
  30. 2. 2. Data Preprocessing and Cleaning..mp4 23.4 MB
  31. 3. 3. Visualizing Time Series Data..mp4 30.2 MB
  32. 4. 4. Building and Evaluating Forecasting Models..mp4 48.4 MB
  33. 5. 5. Predicting Future Bitcoin Prices..mp4 53.4 MB
  34. 1. 1. Introduction to Big Data Analytics and Apache Spark..mp4 32.7 MB
  35. 2. 2. Big Data Data Exploration and Preprocessing..mp4 29.9 MB
  36. 3. 3. Big Data Transformation and Feature Engineering..mp4 27.6 MB
  37. 4. 4. Big Data Visualization and Analysis..mp4 27.3 MB
  38. 5. 5. Conclusion and Next Steps..mp4 37.7 MB
  39. 1. 1. Reading and Preprocessing Data..mp4 37.6 MB
  40. 2. 2. Data Transformation and Visualization..mp4 29.7 MB
  41. 3. 3. Train-Test Split and Model Selection..mp4 41.6 MB
  42. 4. 4. Model Training with XGBoost..mp4 30.7 MB
  43. 5. 5. Making Predictions and Submission..mp4 19.3 MB
  44. 1. 1. Introduction to Customer Churn Prediction..mp4 29.5 MB
  45. 2. 2. Feature Selection and Model Building..mp4 39.1 MB
  46. 3. 3. Advanced Techniques for Churn Prediction..mp4 51.0 MB
  47. 4. 4. Ensemble Methods and Model Evaluation..mp4 30.3 MB
  48. 5. 5. Model Interpretation, Deployment, and Next steps..mp4 27.0 MB
  49. 1. 1. How to download Kaggle data in Google Collab!.mp4 27.6 MB
  50. 2. 2. Creating Directories & The images data..mp4 27.8 MB
  51. 3. 3. Image data preprocessing and visualization with Python..mp4 29.0 MB
  52. 4. 4. Creating and Validating Model using CNN..mp4 46.2 MB
  53. Bonus Resources.txt 386 bytes

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