Udemy

Platform

English

Language

Data Science

Category

Data Science Real-World Use Cases - Hands On Python

Solve 3 real Business Problems, Build Robust AI, Ml , NLP and Time Series models in Real World Scenarios..

4.50 (133 reviews)

Data Science Real-World Use Cases - Hands On Python

Students

11 hours

Content

May 2021

Last Update
Regular Price

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What you will learn

Gain Hands on Data Science in Machine Learning, Natural Language Processing , Time Series Analysis

Develop Natural Language Processing Models for fake news detection

Develop time series forecasting models to predict sales of a product


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 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?

  • 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 Understanding Life-Cycle of Projectimporting 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.





Content

Introduction to this course

Introduction to this course & Course Benefits

Installation of Anaconda Navigator

Quick Summary of Jupyter Notebook

How to follow this course-Must Watch

Introduction to Data Science

What is Data Science?

Life-cycle of data science project

Project 1-->> Predict success of a Zomato Restaurant using Machine Learning

Datasets & Resources

Understand your data

Perform Data Cleaning on your data

Analysing your categories of Restaurants

Perform Restaurant Overview Analysis

Perform In-Depth Analysis of Restaurant

Analysing Best budget Restaurants

Perform Geographical analysis on data..

Analysing Customer Behaviour using WordCloud

Analysing Reviews of Restaurant...

What is Imbalance Data & how to handle it??

How to Prepare your data for Machine Learning

Perform Feature Importance on data

How to came across with your missing values in data..

Perform Feature encoding on your data.

Apply Feature Encoding & Prepare your data for Modelling

Intuition Behind Random Forest Part-1

Intuition Behind Random Forest Part-2

Apply Random Forest algorithm on data.

Intuition behind Logistic Regression --part 1

Intuition behind Logistic Regression --part 2

Intuition Behind Naive Bayes-Part 1

How Naive Bayes works with Text Data..

Intuition Behind Decision Tree- Part 1

Intuition Behind Decision Tree- Part 2

Intuition Behind Decision Tree- Part 3

Intuition Behind Decision Tree- Part 4

Intuition Behind Decision Tree- Part 5

Intuition Behind Decision Tree- Part 6

Project 2-->> Predict whether News is Fake or not ( NLP Use-case)

Datasets & Resources

Understand your data

How to Perform Stemming on your data

Intuition behind Bag of Words

Applying Bag of words on data..

Apply Naive Bayes on data..

Analyse your data & Playing with More algorithms

Project 3-->> Predict sales of a Product ( Time Series Use-case)

Datasets & Resources

Perform Data Cleaning on Time Series Data..

Checking Stationary Trend in Data

How to make your Data Stationary ?

Intuition behind ARIMA --part 1

Intuition behind MA model --ARIMA part 2

Intuition behind AR model -- ARIMA part 3

Intuition behind Integrating -- ARIMA part 4

Apply ARIMA Algorithm on data..

Applying SARIMAX Algorithm on data

Doing Predictions on Future date..


Reviews

M
Miroslava11 May 2021

in the description of this course was said it is for people with all levels of knowledge of python. And here on the third video I learned I need to take another course of basics of Python before this one. The course is not well structured and I am a bit disappointed.

S
Siddhant29 April 2021

Even after I am good at machine learning. By taking this course I got to know that I have a lot of things which I haven't learned before.

A
Adarsh7 April 2021

I was thinking I had a pretty good grasp of python as a first year CSE student, but the concepts taught in here are completely new to me. I wanted to learn data science for some time now, but I wasn't able to find the proper resources. This is literally the best course I could ask for, as it expresses even the implications and applications of data science.

B
Borce29 March 2021

kursus yg menyenangkan walau materinya harus download dahulu. banyak memberi pengalaman baru dan diterangkan oleh in struktur yang sangat berpengalaman. trimakasih dan semoga sukses terus


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3907012

Udemy ID

3/11/2021

Course created date

3/13/2021

Course Indexed date
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