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40 Real World Data Science, Machine Learning Projects 2024

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40 Real World Data Science, Machine Learning Projects 2024, available at $64.99, has an average rating of 4.45, with 340 lectures, based on 277 reviews, and has 7681 subscribers.

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You will learn about 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 This course is ideal for individuals who are Machine Learning Enthusiasts It is particularly useful for Machine Learning Enthusiasts.

Enroll now: 40 Real World Data Science, Machine Learning Projects 2024

Summary

Title: 40 Real World Data Science, Machine Learning Projects 2024

Price: $64.99

Average Rating: 4.45

Number of Lectures: 340

Number of Published Lectures: 251

Number of Curriculum Items: 340

Number of Published Curriculum Objects: 251

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • Machine Learning Enthusiasts

Target Audiences

  • Machine Learning Enthusiasts

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

How much does a Data Scientistmake in the United States?

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

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

FacebookData Scientist makes USD 1,36,000/yr. Analyzed from 1,014 salaries.

AmazonData Scientist makes USD 1,25,704/yr. Analyzed from 307 salaries.

AppleData Scientist makes USD 1,53,885/yr. Analyzed from 147 salaries.

GoogleData Scientist makes USD 1,48,316/yr. Analyzed from 252 salaries.

Quora, Inc. Data Scientist makes USD 1,22,875/yr. Analyzed from 509 salaries.

OracleData Scientist makes USD 1,48,396/yr. Analyzed from 458 salaries.

IBMData Scientist makes USD 1,32,662/yr. Analyzed from 388 salaries.

MicrosoftData Scientist makes USD 1,33,810/yr. Analyzed from 205 salaries.

WalmartData Scientist makes USD 1,08,937/yr. Analyzed 187 salaries.

Cisco SystemsData Scientist makes USD 1,57,228/yr. Analyzed from 184 salaries.

UberData Scientist makes USD 1,43,661/yr. Analyzed from 151 salaries.

IntelCorporation Data Scientist makes USD 1,25,930/yr. Analyzed from 131 salaries.

AirbnbData Scientist makes USD 1,80,569/yr. Analyzed from 122 salaries.

AdobeData Scientist makes USD 1,39,074/yr. Analyzed from 109 salaries.

In This Course, We Are Going To Work On 40 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)

Project-31: Video Game Sales Prediction App

Project-32: Car Selling Price Prediction App- Deploy On Heruku

Project-33: Affair Prediction App – Deploy On Heruku

Project-34: Mushroom Classification App – Deploy On Heruku

Project-35: Mobile App Rating Prediction Django App – Deploy On Heruku

Project-36: Heart Attack Risk Prediction With Auto ML

Project-37: Credit Card Fraud Detection using PyCaret

Project-38: Flight Fare Detection using Auto SK Learn

Project-39: Petrol Price Forecasting using Auto Keras

Project-40: Bank Customer Churn Prediction using H2O Auto ML

The Only Course With 40 Real World Projects In Data Science Domain.

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

Course Curriculum

Chapter 1: Introduction To The Course

Lecture 1: Introduction

Lecture 2: Introduction Course Outline

Lecture 3: Course Bonuses: Cheat Sheets, Downloads, Mind maps, Guides.

Lecture 4: Udemy Course Feedback

Chapter 2: Project-1 Pan Card Tempering Detector App (With Deployment)

Lecture 1: Introduction -Pan Card Tempering Detector App

Lecture 2: Loading libraries and dataset

Lecture 3: Creating the pancard detector with opencv

Lecture 4: Creating the Flask App

Lecture 5: Creating Important functions

Lecture 6: Deploy the app in Heroku

Lecture 7: Testing the deployed pan card detector

Lecture 8: Download the project files

Chapter 3: Project-2 Dog breed prediction Flask App

Lecture 1: Introduction

Lecture 2: Importing the data and libraries

Lecture 3: Data Preprocessing

Lecture 4: Build and Train Model

Lecture 5: Testing the model

Lecture 6: Creating the Flask App

Lecture 7: Running the app in system

Lecture 8: Download the project files

Chapter 4: Project-3 Image Watermarking App (With Deployment)

Lecture 1: Introduction

Lecture 2: Importing libraries and logo

Lecture 3: Create text and image watermark

Lecture 4: Creating the app

Lecture 5: Deploying the app in Heroku

Lecture 6: Download the project files

Chapter 5: Project-4 Traffic sign classification

Lecture 1: Introduction -Traffic sign classification

Lecture 2: Importing the data and libraries

Lecture 3: Image processing

Lecture 4: Creating and testing the model

Lecture 5: Creating model for test set

Lecture 6: Download the project files

Chapter 6: Project-5 Text Extraction From Images App

Lecture 1: Introduction -Text Extraction From Images App

Lecture 2: Importing libraries and data

Lecture 3: Extracting the test from image

Lecture 4: Modifiying the extractor

Lecture 5: Creating the extractor app

Lecture 6: Running the extractor app

Lecture 7: Download the project files

Chapter 7: Project-6 Plant Disease Prediction App (With Deployment)

Lecture 1: Introduction -Plant Disease Prediction App

Lecture 2: Importing libraries and data

Lecture 3: Understanding the data

Lecture 4: Model building

Lecture 5: Creating an app using streamlit

Lecture 6: Download the project files

Chapter 8: Project-7 Counting & Detecting Vehicles Flask App

Lecture 1: Introduction

Lecture 2: Importing libraries

Lecture 3: Transforing Images and creating output

Lecture 4: Creating a Flask APP

Lecture 5: Download the project files

Chapter 9: Project-8 Face Swapping Deep Learning Application

Lecture 1: Introduction -Face Swapping Deep Learning Application

Lecture 2: Importing libraries and data

Lecture 3: Data preprocessing and creating output

Lecture 4: Creating A Flask Application

Lecture 5: Download the project files

Chapter 10: Project-9 Bird Species Prediction App

Lecture 1: Introduction

Lecture 2: Improting Libraries And Data

Lecture 3: Data processing

Lecture 4: Creating ML Model

Lecture 5: Creating A Flask App

Lecture 6: Download the project files

Chapter 11: Project-10 Intel Image Classification App

Lecture 1: Introduction

Lecture 2: Importing and processing data

Lecture 3: Creating a Model

Lecture 4: Creating a Flask App

Lecture 5: Download the project files

Chapter 12: Project-11 Sentiment Analysis App (With Deployment)

Lecture 1: Introduction

Lecture 2: Project Notebook Google Colab

Lecture 3: Building Django App

Lecture 4: Deploying APP in Heroku

Lecture 5: Download the project files

Chapter 13: Project-12 Attrition Rate Django App

Lecture 1: Introduction

Lecture 2: Creating Colab Notebook

Lecture 3: Creating Django App

Lecture 4: Deploying App In Heroku

Lecture 5: Download the project files

Chapter 14: Project-13 Pokemon Dataset App (With Deployment)

Lecture 1: Introduction

Lecture 2: Creating Colab Notebook

Lecture 3: Creating DJango APP

Lecture 4: Deploying APP in Heroku

Lecture 5: Download the project files

Chapter 15: Project-14 Face Detection App Streamlit

Lecture 1: Introduction

Lecture 2: Creating The Face App Using OpenCV1

Lecture 3: Creating The face app2

Lecture 4: Creating The face app3

Instructors

Rating Distribution

  • 1 stars: 12 votes
  • 2 stars: 15 votes
  • 3 stars: 48 votes
  • 4 stars: 75 votes
  • 5 stars: 127 votes

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