Udemy - Natural Language Processing Real-World Projects in Python
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| TutsNode.com.txt | 63 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 585 B | ||
| [TutsNode.com] - Natural Language Processing Real-World Projects in Python | |||
| 1. Introduction to this course | |||
| 1. Intro To course.mp4 | 19.34 MB | ||
| 1. Intro To course.srt | 3.74 KB | ||
| 2. How to follow this course-Must Watch.mp4 | 17.19 MB | ||
| 2. How to follow this course-Must Watch.srt | 2.89 KB | ||
| 2. Project 1--Predict the sentiments of Amazon Customer | |||
| 1. Datasets & Resources.html | 193 B | ||
| 10. Intuition behind TF-IDF --part 1.mp4 | 24.78 MB | ||
| 10. Intuition behind TF-IDF --part 1.srt | 8.18 KB | ||
| 11. Intuition behind TF-IDF --part 2.mp4 | 34.59 MB | ||
| 11. Intuition behind TF-IDF --part 2.srt | 7.95 KB | ||
| 12. Applying algorithms of NLP & Machine Learning.mp4 | 58.75 MB | ||
| 12. Applying algorithms of NLP & Machine Learning.srt | 8.98 KB | ||
| 13. Data Preparation for Modelling Purpose.mp4 | 55.59 MB | ||
| 13. Data Preparation for Modelling Purpose.srt | 8.99 KB | ||
| 14. Applying Techniques of Handling Imbalance Data & Cross Validation.mp4 | 99.34 MB | ||
| 14. Applying Techniques of Handling Imbalance Data & Cross Validation.srt | 16.64 KB | ||
| 2. Introduction to Business Problem & Dataset.mp4 | 23.73 MB | ||
| 2. Introduction to Business Problem & Dataset.srt | 2.21 KB | ||
| 3. Perform Data Pre-processing on Amazon Data.mp4 | 60.17 MB | ||
| 3. Perform Data Pre-processing on Amazon Data.srt | 11.24 KB | ||
| 4. Apply Exploratory Data Analysis on Data.mp4 | 51.94 MB | ||
| 4. Apply Exploratory Data Analysis on Data.srt | 8.64 KB | ||
| 5. Intuition behind Bag of Words.mp4 | 62.61 MB | ||
| 5. Intuition behind Bag of Words.srt | 18.2 KB | ||
| 6. Intuition behind Logistic Regression --part 1.mp4 | 57.97 MB | ||
| 6. Intuition behind Logistic Regression --part 1.srt | 15.23 KB | ||
| 7. Intuition behind Logistic Regression --part 2.mp4 | 44.15 MB | ||
| 7. Intuition behind Logistic Regression --part 2.srt | 17.26 KB | ||
| 8. Apply Bag of Words on data.mp4 | 95.95 MB | ||
| 8. Apply Bag of Words on data.srt | 17.61 KB | ||
| 9. Automate your NLP model & Machine Learning Model.mp4 | 107.08 MB | ||
| 9. Automate your NLP model & Machine Learning Model.srt | 16.99 KB | ||
| 3. Project2---- Predict the Stock News Headlines | |||
| 1. Datasets & Resources.html | 193 B | ||
| 10. Intuition Behind Naive Bayes- Part 2.mp4 | 92.62 MB | ||
| 10. Intuition Behind Naive Bayes- Part 2.srt | 25.24 KB | ||
| 11. Apply Naive Bayes on Data...mp4 | 36.83 MB | ||
| 11. Apply Naive Bayes on Data...srt | 6.02 KB | ||
| 2. Introduction to Business Problem & Dataset.mp4 | 23.77 MB | ||
| 2. Introduction to Business Problem & Dataset.srt | 1.84 KB | ||
| 3. Data Pre-processing on Data..mp4 | 84.04 MB | ||
| 3. Data Pre-processing on Data..srt | 11.7 KB | ||
| 4. Perfrom Data Wrangling & Merging.mp4 | 72.03 MB | ||
| 4. Perfrom Data Wrangling & Merging.srt | 8.39 KB | ||
| 5. Intuition Behind Random Forest Part-1.mp4 | 77.76 MB | ||
| 5. Intuition Behind Random Forest Part-1.srt | 26.62 KB | ||
| 6. Intuition behind Random Forest --part 2.mp4 | 50.79 MB | ||
| 6. Intuition behind Random Forest --part 2.srt | 15.36 KB | ||
| 7. Apply Bag of words and Random forest on Data.mp4 | 62.25 MB | ||
| 7. Apply Bag of words and Random forest on Data.srt | 8.81 KB | ||
| 8. Model Evaluation...mp4 | 50.04 MB | ||
| 8. Model Evaluation...srt | 8.68 KB | ||
| 9. Intuition Behind Naive Bayes-Part 1.mp4 | 69.02 MB | ||
| 9. Intuition Behind Naive Bayes-Part 1.srt | 21.45 KB | ||
| 4. Project 3-- Predicting the strength of Password | |||
| 1. Datasets & Resources.html | 193 B | ||
| 2. Introduction to Business Problem & Dataset.mp4 | 13.7 MB | ||
| 2. Introduction to Business Problem & Dataset.srt | 1.78 KB | ||
| 3. Exploring Data.mp4 | 57.06 MB | ||
| 3. Exploring Data.srt | 10.94 KB | ||
| 4. Apply TF-IDF on data.mp4 | 60.55 MB | ||
| 4. Apply TF-IDF on data.srt | 10.21 KB | ||
| 5. Apply Logistic Regression on Data.mp4 | 52.96 MB | ||
| 5. Apply Logistic Regression on Data.srt | 8.89 KB | ||
| 6. Checking Accuracy of Model.mp4 | 28.2 MB | ||
| 6. Checking Accuracy of Model.srt | 4.63 KB |
Description
Description
Are you looking to land a top-paying job in Data Science , AI & Natural Language Processing?
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.
In business, Data Science is applied to optimize business processes, maximize revenue and reduce cost. 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 Customer Sentiments : Develop an AI model to predict Customer Sentiments of Amazon..
3.Task #2 @Predict future Stock Prices: Develop NLP models to predict future Stock prices.
2.Task #3 @Predict the strength of a Password: Predict the category of Password whether it is Strong, Good or Weak.
Who this course is for:
One who is curious about to do Carrier Transition into Data Science, AI , Natural Language Processing,
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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