Data Science Real-World Use Cases - Hands On Python
- Description
- Curriculum
- FAQ
- Reviews
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Are you looking to land a top-paying job in Data Science?
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Or are you a seasoned AI practitioner who want to take your career to the next level?
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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 Success of a Zomato Restaurant : Develop an AI model to predict whether Restaurant can be success or not..
2.Task #2 @Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques..
3.Task #3 @Predict sales of a Product: Develop time series forecasting models to predict sales of a product..
Why should you take this Course?
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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
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It shows and explains the full real-world Data. Starting with Understanding Life-Cycle of Project , 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.
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It gives you plenty of opportunities to practice and code on your own. Learning by doing.
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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
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Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.
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7Datasets & ResourcesText lesson
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8Understand your dataVideo lesson
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9Perform Data Cleaning on your dataVideo lesson
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10Analysing your categories of RestaurantsVideo lesson
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11Perform Restaurant Overview AnalysisVideo lesson
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12Perform In-Depth Analysis of RestaurantVideo lesson
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13Analysing Best budget RestaurantsVideo lesson
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14Perform Geographical analysis on data..Video lesson
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15Analysing Customer Behaviour using WordCloudVideo lesson
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16Analysing Reviews of Restaurant...Video lesson
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17What is Imbalance Data & how to handle it??Video lesson
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18How to Prepare your data for Machine LearningVideo lesson
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19Perform Feature Importance on dataVideo lesson
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20How to came across with your missing values in data..Video lesson
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21Perform Feature encoding on your data.Video lesson
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22Apply Feature Encoding & Prepare your data for ModellingVideo lesson
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23Intuition Behind Random Forest Part-1Video lesson
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24Intuition Behind Random Forest Part-2Video lesson
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25Apply Random Forest algorithm on data.Video lesson
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26Intuition behind Logistic Regression --part 1Video lesson
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27Intuition behind Logistic Regression --part 2Video lesson
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28Intuition Behind Naive Bayes-Part 1Video lesson
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29How Naive Bayes works with Text Data..Video lesson
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30Intuition Behind Decision Tree- Part 1Video lesson
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31Intuition Behind Decision Tree- Part 2Video lesson
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32Intuition Behind Decision Tree- Part 3Video lesson
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33Intuition Behind Decision Tree- Part 4Video lesson
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34Intuition Behind Decision Tree- Part 5Video lesson
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35Intuition Behind Decision Tree- Part 6Video lesson
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36Datasets & ResourcesText lesson
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37Understand your dataVideo lesson
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38How to Perform Stemming on your dataVideo lesson
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39Intuition behind Bag of WordsVideo lesson
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40Applying Bag of words on data..Video lesson
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41Apply Naive Bayes on data..Video lesson
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42Analyse your data & Playing with More algorithmsVideo lesson
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