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30 Real World Data Science, Machine Learning Projects 2021 – Udemy

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Description

What you’ll learn

  • Students Will Understand What Is Machine Learning
  • Why They Need To Learn Machine Learning
  • Difference Between Machine Learning, Deep Learning, Artificial Intelligence
  • What Are The Applications Of Machine Learning

Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Artificial Intelligence, Machine Learning, Data Science , Deep Learning, Natural Language Processing (NLP) Web Applications Projects With Python (Flask, Django, Heruko, Streamlit Cloud).

How much does a Data Scientist make in the United States?

The national average salary for a Data Scientist is US$1,20,718 per year in United States, 2.8k salaries reported, updated at July 15, 2021 (source: glassdoor)

Salaries by Company, Role, Average Base Salary in (USD)

Facebook Data Scientist makes US$1,36,000/yr. Analysed from 1,014 salaries.

Amazon Data Scientist makes US$1,25,704/yr. Analysed from 307 salaries.

Apple Data Scientist makes US$1,53,885/yr. Analysed from 147 salaries.

Google Data Scientist makes US$1,48,316/yr. Analysed from 252 salaries.

Quora, Inc. Data Scientist makes US$1,22,875/yr. Analysed from 509 salaries.

Oracle Data Scientist makes US$1,48,396/yr. Analysed from 458 salaries.

IBM Data Scientist makes US$1,32,662/yr. Analysed from 388 salaries.

Microsoft Data Scientist makes US$1,33,810/yr. Analysed from 205 salaries.

Walmart Data Scientist makes US$1,08,937/yr. Analysed from 187 salaries.

Cisco Systems Data Scientist makes US$1,57,228/yr. Analysed from 184 salaries.

Uber Data Scientist makes US$1,43,661/yr. Analysed from 151 salaries.

Intel Corporation Data Scientist makes US$1,25,930/yr. Analysed from 131 salaries.

Airbnb Data Scientist makes US$1,80,569/yr. Analysed from 122 salaries.

Adobe Data Scientist makes US$1,39,074/yr. Analysed from 109 salaries.

In This Course We Are Going To Work On 30 Real World Projects Listed Below:

Project-1 Pan Card Tempering Detector App (With Deployment)

Project-2 Dog breed prediction Flask App

Project-3 Image Watermarking App (With Deployment)

Project-4 Traffic sign classification

Project-5 Text Extraction From Images App

Project-6 Plant Disease Prediction App (With Deployment)

Project-7 Counting & Detecting Vehicles Flask App

Project-8 Face Swapping Deep Learning Application

Project-9 Bird Species Prediction App

Project-10 Intel Image Classification App

Project-11 Sentiment Analysis App (With Deployment)

Project-12 Attrition Rate Django App

Project-13 Pokemon Dataset App (With Deployment)

Project-14 Face Detection App Streamlit

Project-15 Cats Vs Dogs Classification App

Project-16 Customer Revenue Prediction App (With Deployment)

Project-17 Gender From Voice Prediction App

Project-18 Restaurant Recommendation System

Project-19 Happiness Ranking App

Project-20 Forest Fire Prediction App

Project-21 Black Friday Sale Prediction

Project-22 Sentiment Analysis Using Natural Language Processing

Project-23 Parkinson Syndrome Prediction

Project-24  Fake News Classifier Using NLP

Project-25 Toxic Comment Classifier Using NLP

Project-26 Movie Ratings Prediction (IMDB) Using NLP

Project-27 Air Quality Prediction

Project-28 Covid-19 Case Analysis

Project-29 Customer Churning Prediction

Project-30 Building A Chatbot Application (NLP)

The Only Course With 30 Real World Projects In Data Science Domain.

Note (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.

Who this course is for:

  • Machine Learning Enthusiasts

Course content

  • Introduction To The Course
  • Project-1 Pan Card Tempering Detector App (With Deployment)
  • Project-2 Dog breed prediction Flask App
  • Project-3 Image Watermarking App (With Deployment)
  • Project-4 Traffic sign classification
  • Project-5 Text Extraction From Images App
  • Project-6 Plant Disease Prediction App (With Deployment)
  • Project-7 Counting & Detecting Vehicles Flask App
  • Project-8 Face Swapping Deep Learning Application
  • Project-9 Bird Species Prediction App

10 reviews for 30 Real World Data Science, Machine Learning Projects 2021 – Udemy

  1. Donny Phan

    Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum

  2. Madhav raj Verma

    Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.

  3. Sachin Gupta

    I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.

  4. Vincent Beaudet

    Amazing 40 days course.
    Angela is a great teacher.
    The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
    This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.

    Exercices format and explanations for the first 40 days were worth it tho.

  5. Ben K

    Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.

  6. Omid Alikhel

    I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!

  7. Devang Jain

    The course is not updated and most of the solution codes don’t work and there are no video solutions towards the end

  8. Szymon Kozak

    I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

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