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Udemy - Data Science Real World Projects in Python

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Added 5 years ago by tutsnode in Other
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Udemy - Data Science Real World Projects in Python (Size: 2.37 GB)
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  TutsNode.com.txt 63 B
  [TGx]Downloaded from torrentgalaxy.to .txt 585 B
  [TutsNode.com] - Data Science Real World Projects in Python
  1. Introduction to this course
  1. Intro to this course.mp4 20.85 MB
  1. Intro to this course.srt 4.24 KB
  2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning
  1. Introduction to Business Problem & Dataset.mp4 21.66 MB
  1. Introduction to Business Problem & Dataset.srt 2.03 KB
  10. Intuition Behind Random Forest Part-1.mp4 77.77 MB
  10. Intuition Behind Random Forest Part-1.srt 26.62 KB
  11. Intuition Behind Random Forest Part-2.mp4 50.79 MB
  11. Intuition Behind Random Forest Part-2.srt 15.36 KB
  12. Applying Random Forest on Data & Automate predictions.mp4 74.99 MB
  12. Applying Random Forest on Data & Automate predictions.srt 14.84 KB
  13. Intuition Behind Decision Tree- Part 1.mp4 40.56 MB
  13. Intuition Behind Decision Tree- Part 1.srt 14 KB
  14. Intuition Behind Decision Tree- Part 2.mp4 63.16 MB
  14. Intuition Behind Decision Tree- Part 2.srt 21.88 KB
  15. Intuition Behind Decision Tree- Part 3.mp4 60.69 MB
  15. Intuition Behind Decision Tree- Part 3.srt 19.97 KB
  16. Intuition Behind Decision Tree- Part 4.mp4 73.51 MB
  16. Intuition Behind Decision Tree- Part 4.srt 23.41 KB
  17. Intuition Behind Decision Tree- Part 5.mp4 62.14 MB
  17. Intuition Behind Decision Tree- Part 5.srt 20.64 KB
  18. Intuition Behind Decision Tree- Part 6.mp4 39.6 MB
  18. Intuition Behind Decision Tree- Part 6.srt 13.26 KB
  19. Intuition Behind Linear Regression- Part 1.mp4 40.92 MB
  19. Intuition Behind Linear Regression- Part 1.srt 15.87 KB
  2. Datasets & Resources.html 193 B
  20. Intuition Behind Linear Regression- Part 2.mp4 44.35 MB
  20. Intuition Behind Linear Regression- Part 2.srt 13.97 KB
  21. Intuition Behind Linear Regression- Part 3.mp4 81.8 MB
  21. Intuition Behind Linear Regression- Part 3.srt 28.41 KB
  22. Intuition Behind KNN- Part 1.mp4 41.13 MB
  22. Intuition Behind KNN- Part 1.srt 17.47 KB
  23. Intuition Behind KNN- Part 2.mp4 33.82 MB
  23. Intuition Behind KNN- Part 2.srt 10.86 KB
  24. Intuition Behind KNN- Part 3.mp4 28.4 MB
  24. Intuition Behind KNN- Part 3.srt 9.88 KB
  25. Intuition Behind KNN- Part 4.mp4 37.96 MB
  25. Intuition Behind KNN- Part 4.srt 10.97 KB
  26. Play with multiple Algorithms & dumping your model.mp4 60.28 MB
  26. Play with multiple Algorithms & dumping your model.srt 10.84 KB
  27. Intuition Behind Cross Validation- Part 1.mp4 41.67 MB
  27. Intuition Behind Cross Validation- Part 1.srt 13.6 KB
  28. Intuition Behind Cross Validation- Part 2.mp4 67.34 MB
  28. Intuition Behind Cross Validation- Part 2.srt 17.57 KB
  29. How to Cross Validate your model.mp4 123.53 MB
  29. How to Cross Validate your model.srt 23.07 KB
  3. Understanding Data & data-preprocessing.mp4 70.38 MB
  3. Understanding Data & data-preprocessing.srt 16.2 KB
  4. Extract Derived Features from Data.mp4 80.43 MB
  4. Extract Derived Features from Data.srt 15.15 KB
  5. Perform Data Pre-processing.mp4 53.51 MB
  5. Perform Data Pre-processing.srt 10.98 KB
  6. Handle Categorical Data & Feature Encoding.mp4 85.45 MB
  6. Handle Categorical Data & Feature Encoding.srt 16.36 KB
  7. Perform Label Encoding on data.mp4 108.61 MB
  7. Perform Label Encoding on data.srt 18.92 KB
  8. How to handle Outliers in Data.mp4 53.64 MB
  8. How to handle Outliers in Data.srt 10.45 KB
  9. Select best Features using Feature Selection Technique.mp4 36.97 MB
  9. Select best Features using Feature Selection Technique.srt 6.99 KB
  3. Project 2----- Predict Password Strength using Natural Language Processing
  1. Introduction to Business Problem & Dataset.mp4 13.68 MB
  1. Introduction to Business Problem & Dataset.srt 1.78 KB
  10. Checking Accuracy of Model.mp4 28.22 MB
  10. Checking Accuracy of Model.srt 4.63 KB
  2. Datasets & Resources.html 193 B
  3. Exploring your data.mp4 57.08 MB
  3. Exploring your data.srt 10.94 KB
  4. Intuition behind TF-IDF --part 1.mp4 24.79 MB
  4. Intuition behind TF-IDF --part 1.srt 8.18 KB
  5. Intuition behind TF-IDF --part 2.mp4 34.6 MB
  5. Intuition behind TF-IDF --part 2.srt 7.95 KB
  6. Apply TF-IDF on data.mp4 60.55 MB
  6. Apply TF-IDF on data.srt 10.21 KB
  7. Intuition behind Logistic Regression --part 1.mp4 57.97 MB
  7. Intuition behind Logistic Regression --part 1.srt 15.23 KB
  8. Intuition behind Logistic Regression --part 2.mp4 44.15 MB
  8. Intuition behind Logistic Regression --part 2.srt 17.26 KB
  9. Apply Logistic Regression on Data.mp4 52.97 MB
  9. Apply Logistic Regression on Data.srt 8.89 KB
  4. Project 3-- Predict Stock Prices using Time Series Analysis
  1. Introduction to Business Problem & Dataset.mp4 22.56 MB
  1. Introduction to Business Problem & Dataset.srt 2.23 KB
  10. Evaluating Time Series Model.mp4 28.29 MB
  10. Evaluating Time Series Model.srt 3.91 KB
  2. Datasets & Resources.html 193 B
  3. Analyzing Time Series data.mp4 39.48 MB
  3. Analyzing Time Series data.srt 6.02 KB
  4. Data preparation for Time Series Forecasting.mp4 66.81 MB
  4. Data preparation for Time Series Forecasting.srt 9.63 KB
  5. Intuition behind ARIMA --part 1.mp4 20.15 MB
  5. Intuition behind ARIMA --part 1.srt 5.13 KB
  6. Intuition behind MA model --ARIMA part 2.mp4 49.13 MB
  6. Intuition behind MA model --ARIMA part 2.srt 13.38 KB
  7. Intuition behind AR model -- ARIMA part 3.mp4 27.11 MB
  7. Intuition behind AR model -- ARIMA part 3.srt 7.29 KB
  8. Intuition behind Integrating -- ARIMA part 4.mp4 26.57 MB
  8. Intuition behind Integrating -- ARIMA part 4.srt 9.37 KB
  9. Apply Auto-Arima on data.mp4 82.31 MB
  9. Apply Auto-Arima on data.srt 9.64 KB

Description



Description

Are you looking to land a top-paying job in Data Science?
Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?

If the answer is yes to any of these questions, then this course is for you!

Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.

The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.

1.Task #1 @Predict Price of Airlines Industry : Develop an AI model to predict Fare of Airlines at various Routes.

2.Task #2 @Predict the strength of a Password: Predict the category of Password whether it is Strong, Good or Weak.

3.Task #3 @Predict Prices of a Stock: Develop time series forecasting models to predict future Stock prices.

Why should you take this Course?

It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer

It shows and explains the full real-world Data. Starting with importing messy data, cleaning data,merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion
Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.

Who this course is for:

One who is curious about Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis.

Requirements

Basic knowledge of programming is recommended. However, You can follow my Basics of Python Course which is free of cost therefore, the course has no prerequisites, and is open to anyone with basic programming knowledge. Students who enroll in this course will master data science and directly apply these skills to solve real world challenging business problems.

Last Updated 1/2021

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