Udemy - Data Science Real World Projects in Python

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.8 GB
  • Uploaded BynotmrME
  • Downloads172
  • Last checkedJun. 25th '21
  • Date uploadedJun. 22nd '21
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Data Science Real World Projects in Python
Solve 3 real Business Problems, Build Robust AI, Ml , NLP and Time Series models for Airline, Security & Stock Domain..



This course includes:
* 8.5 hours on-demand video




What you'll learn
* Hands on Real-World Projects on Various Domains of Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
* Develop Natural Language Processing Models for Customer Sentiments
* Develop time series forecasting models to predict Prices of stocks


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.

Files:

Data Science Real World Projects in Python 03 Project 1--__ Predict Fare of Airlines Tickets using Machine Learning
  • 012 Applying Random Forest on Data & Automate predictions.mp4 (189.2 MB)
  • 001 Introduction to Business Problem & Dataset.mp4 (21.7 MB)
  • 002 Datasets & Resources.html (1.1 KB)
  • 003 Understanding Data & data-preprocessing.mp4 (70.4 MB)
  • 004 Extract Derived Features from Data.mp4 (172.8 MB)
  • 005 Perform Data Pre-processing.mp4 (53.5 MB)
  • 006 Handle Categorical Data & Feature Encoding.mp4 (85.4 MB)
  • 007 Perform Label Encoding on data.mp4 (108.6 MB)
  • 008 How to handle Outliers in Data.mp4 (53.6 MB)
  • 009 Select best Features using Feature Selection Technique.mp4 (37.0 MB)
  • 010 Intuition Behind Random Forest Part-1.mp4 (77.8 MB)
  • 011 Intuition Behind Random Forest Part-2.mp4 (50.8 MB)
  • 013 Intuition Behind Decision Tree- Part 1.mp4 (40.5 MB)
  • 014 Intuition Behind Decision Tree- Part 2.mp4 (63.2 MB)
  • 015 Intuition Behind Decision Tree- Part 3.mp4 (60.7 MB)
  • 016 Intuition Behind Decision Tree- Part 4.mp4 (73.5 MB)
  • 017 Intuition Behind Decision Tree- Part 5.mp4 (62.1 MB)
  • 018 Intuition Behind Decision Tree- Part 6.mp4 (39.6 MB)
  • 019 Intuition Behind Linear Regression- Part 1.mp4 (40.9 MB)
  • 020 Intuition Behind Linear Regression- Part 2.mp4 (44.3 MB)
  • 021 Intuition Behind Linear Regression- Part 3.mp4 (81.8 MB)
  • 022 Intuition Behind KNN- Part 1.mp4 (41.1 MB)
  • 023 Intuition Behind KNN- Part 2.mp4 (33.8 MB)
  • 024 Intuition Behind KNN- Part 3.mp4 (28.4 MB)
  • 025 Intuition Behind KNN- Part 4.mp4 (37.9 MB)
  • 026 Play with multiple Algorithms & dumping your model.mp4 (60.3 MB)
  • 027 Intuition Behind Cross Validation- Part 1.mp4 (41.7 MB)
  • 028 Intuition Behind Cross Validation- Part 2.mp4 (67.3 MB)
  • 029 How to Cross Validate your model.mp4 (123.5 MB)
01 Introduction to this course
  • 001 Intro to this course.mp4 (20.8 MB)
  • 002 Installation of Anaconda Navigator.html (1.1 KB)
  • 003 Quick Summary of Jupyter Notebook.mp4 (43.4 MB)
02 Introduction to Data Science
  • 001 Data Science & its Applications.mp4 (54.1 MB)
  • 002 Life-cycle of data science project.mp4 (115.8 MB)
  • Downloaded from 1337x.html (0.5 KB)
    • 04 Project 2-----__ Predict Password Strength using Natural Language Processing
    • 001 Introduction to Business Problem & Dataset.mp4 (13.7 MB)
    • 002 Datasets & Resources.html (1.1 KB)
    • 003 Exploring your data.mp4 (57.1 MB)
    • 004 Intuition behind TF-IDF --part 1.mp4 (24.8 MB)
    • 005 Intuition behind TF-IDF --part 2.mp4 (34.6 MB)
    • 006 Apply TF-IDF on data.mp4 (60.5 MB)
    • 007 Intuition behind Logistic Regression --part 1.mp4 (58.0 MB)
    • 008 Intuition behind Logistic Regression --part 2.mp4 (44.1 MB)
    • 009 Apply Logistic Regression on Data.mp4 (53.0 MB)
    • 010 Checking Accuracy of Model.mp4 (28.2 MB)
    05 Project 3--__ Predict Stock Prices using Time Series Analysis
    • 001 Introduction to Business Problem & Dataset.mp4 (22.6 MB)
    • 002 Datasets & Resources.html (1.1 KB)
    • 003 Analyzing Time Series data.mp4 (39.5 MB)
    • 004 Data preparation for Time Series Forecasting.mp4 (66.8 MB)
    • 005 Intuition behind ARIMA --part 1.mp4 (20.1 MB)
    • 006 Intuition behind MA model --ARIMA part 2.mp4 (49.1 MB)
    • 007 Intuition behind AR model -- ARIMA part 3.mp4 (27.1 MB)
    • 008 Intuition behind Integrating -- ARIMA part 4.mp4 (26.6 MB)
    • 009 Apply Auto-Arima on data.mp4 (82.3 MB)
    • 010 Evaluating Time Series Model.mp4 (28.3 MB)

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