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Data Science Bundle: 180 Hands-On Projects – Course 3 of 3

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Data Science Bundle: 180 Hands-On Projects – Course 3 of 3, available at $69.99, has an average rating of 4.5, with 524 lectures, based on 36 reviews, and has 1439 subscribers.

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You will learn about Equip yourself with skills that are in high demand, increasing your chances of getting hired as a Data Scientist. Apply Machine Learning to real-world scenarios, making you job-ready. Get exposure to Deep Learning, Transfer Learning, and Neural Networks, expanding your skill set. Master the essentials of Machine Learning using Python, the go-to language for Data Science. Learn to build robust Machine Learning models that can withstand real-world uncertainties. Acquire techniques to fine-tune and improve your Machine Learning models for better performance. Develop a strong intuition for choosing the right Machine Learning models for different tasks. Empower yourself to conduct powerful data analyses that can drive decision-making processes. This course is ideal for individuals who are Beginners in data science It is particularly useful for Beginners in data science.

Enroll now: Data Science Bundle: 180 Hands-On Projects – Course 3 of 3

Summary

Title: Data Science Bundle: 180 Hands-On Projects – Course 3 of 3

Price: $69.99

Average Rating: 4.5

Number of Lectures: 524

Number of Published Lectures: 422

Number of Curriculum Items: 524

Number of Published Curriculum Objects: 422

Original Price: $94.99

Quality Status: approved

Status: Live

What You Will Learn

  • Equip yourself with skills that are in high demand, increasing your chances of getting hired as a Data Scientist.
  • Apply Machine Learning to real-world scenarios, making you job-ready.
  • Get exposure to Deep Learning, Transfer Learning, and Neural Networks, expanding your skill set.
  • Master the essentials of Machine Learning using Python, the go-to language for Data Science.
  • Learn to build robust Machine Learning models that can withstand real-world uncertainties.
  • Acquire techniques to fine-tune and improve your Machine Learning models for better performance.
  • Develop a strong intuition for choosing the right Machine Learning models for different tasks.
  • Empower yourself to conduct powerful data analyses that can drive decision-making processes.

Who Should Attend

  • Beginners in data science

Target Audiences

  • Beginners in data science

Enroll in this course for an immersive learning experience with compelling benefits . You’ll gain hands-on experience in practical machine learning and data-driven projects . Develop proficiency in Python, Flask, Django, and cloud deployment on platforms like Heroku, AWS, Azure, GCP, and Streamlit .

This course guides you through the entire project lifecycle, from ideation to deployment, with a focus on real-world applications . It bridges the gap between data analytics and business strategy, making it suitable for both newcomers and seasoned practitioners . With 60 diverse projects, you can build a robust portfolio at your own pace .

Don’t miss this opportunity to advance your data science career and make a real impact in today’s data-rich world . Enroll now before the offer expires and transform your future .

In This Course, We Are Going To Work On 60 Real World Projects Listed Below:

Data Science Projects:

Project-1: CarPricer: Fueling Car Prices – Build Car Prices Prediction App on Heroku

Project-2: LoveCounter: Counting Affairs – Build Affair Count Django App on Heroku

Project-3: ShroomSense: Unveiling Fungal Delights – Build Shrooming Predictions App on Heroku

Project-4: PlayRater: Play Store Insights – Google Play App Rating Prediction on Heroku

Project-5: BankGuru: Banking on Customer Predictions – Build Bank Customers Predictions Django App on Heroku

Project-6: ArtSculptor: Sculpting Artistic Insights – Build Artist Sculpture Cost Prediction Django App on Heroku

Project-7: MediCost: Healing Insights – Build Medical Cost Predictions Django App on Heroku

Project-8: PhishGuard: Safeguarding the Web – Phishing Webpages Classification Django App on Heroku

Project-9: FashionFit: Fit for Style – Clothing Fit-Size Predictions Django App on Heroku

Project-10: TextSim: Unveiling Textual Connections – Build Similarity In-Text Django App on Heroku

Project-11: ForgeryFinder: Unmasking Pan Card Tampering with AI – Deploy On Heroku

Project-12: BreedRover: Fetching Dog Breeds with a Flask Twist

Project-13: AquaMark: Immortalizing Images with Watermark Wizardry – Deploy On Heroku

Project-14: SignSense: Navigating the Road with Traffic Sign Detection

Project-15: TextXtract: Unlocking Secrets Hidden in Images

Project-16: PlantWhisperer: Decoding Nature’s Language for Plant Disease Prediction

Project-17: AutoTrack: Counting Cars and Unleashing Traffic Insights with Flask

Project-18: FaceSwap Pro: Transform Faces and Dive into a World of Fun

Project-19: FeatheredForecast: Predicting Bird Species with Flask Feathers

Project-20: VisualIntel: Exploring Visual Intelligence with Intel Image Classification

Project-21: HeartBeatHero: Defending Hearts with Eval ML – Heart Attack Risk Prediction

Project-22: FraudGuardian: Shielding Finances with Pycaret – Credit Card Fraud Detection

Project-23: SkyHighForecaster: Soaring through Fare Predictions – Flight Fare Prediction

Project-24: FuelProphet: Fueling Future Insights – Petrol Price Forecasting

Project-25: ChurnSavior: Safeguarding Customer Loyalty – Bank Customer Churn Prediction

Project-26: AirQInsight: Breathing Easy with TPOT – Air Quality Index Predictor

Project-27: RainMaster: Unveiling Precipitation Patterns – Rain Prediction using ML models & PyCaret

Project-28: PizzaCraver: Predicting Pizza Prices – Pizza Price Prediction using ML and EVALML

Project-29: IPLOracle: Unlocking Cricket Magic – IPL Cricket Score Prediction using TPOT

Project-30: BikeRider: Pedaling through Rentals – Predicting Bike Rentals Count using ML and H2O Auto ML

Project-31: ConcreteWizard: Building Strong Foundations – Concrete Compressive Strength Prediction using Auto Keras

Project-32: HomePriceWhiz: Navigating the Housing Market – Bangalore House Price Prediction using Auto SK Learn

Project-33: LifeSaver: Predicting Hospital Outcomes – Hospital Mortality Prediction using PyCaret

Project-34: CareerPro: Elevating Professional Paths – Employee Evaluation for Promotion using ML and Eval Auto ML

Project-35: HydraH2O: Quenching the Thirst for Drinking Water Potability – Drinking Water Potability Prediction using ML and H2O Auto ML

Project-36: GameQuest: Unlocking the World of Video Game Sales Analysis

Project-37: TicTacToEvolved: A Strategic Battle of Wits – Build Tic Tac Toe Game

Project-38: PassGenie: Creating Secure Passwords – Random Password Generator Website using Django

Project-39: PortfolioPro: Showcasing Your Skills – Building Personal Portfolio Website using Django

Project-40: TodoTracker: Organizing Tasks Together – Todo List Website For Multiple Users

Project-41: CryptoPlanner: Riding the Waves of Crypto – Crypto Coin Planner GUI Application

Project-42: TweetBot: Your Personal Twitter Companion – Your Own Twitter Bot – Python, Request, API, Deployment, Tweepy

Project-43: DictBuilder: Crafting a Personal Dictionary – Create A Python Dictionary using Python, Tkinter, JSON

Project-44: EggCatcher: A Fun Game of Precision – Egg-Catcher Game using Python

Project-45: RoutineTracker: Keeping Your Day on Track – Personal Routine Tracker Application using Python

Project-46: ScreenPet: Unleashing the Pet on Your Screen – Building Screen-Pet using Tkinter & Canvas

Project-47: CaterpillarGame: A Journey of Transformation – Building Caterpillar Game using Turtle and Python

Project-48: HangmanMaster: Cracking the Word Code – Building Hangman Game using Python

Project-49: SmartCalc: Math Made Easy – Developing our own Smart Calculator using Python and Tkinter

Project-50: SecretSteganography: Hiding Messages in Images – Image-based steganography using Python and pillows

Power BI Projects:

Project-51: Patient Summary Dashboard: Medical Records

Project-52: Global Super Store Sales Data Analysis

Project-53: Boston Housing Dataset Dashboard: Real Estate

Project-54: Crime in Los Angeles: Yearly City Analysis

Project-55: IMDB Movie Dataset Dashboard: Movie Comparison

Project-56: Hotel Reservation Dashboard: Global Hotel Business

Project-57: Toy Sales Data Analysis: Practice Dataset

Project-58: Netflix Stock Price Dashboard: Business Analysis

Project-59: Personal Finance Management Dashboard: Financial Insights

Project-60: A Deep Dive into Bank Customer Churn with Power BI

Tips: Create A 60 Days Study Plan , Spend 1-2hrs Per Day, Build 60 Projects In 60 Days .

The Only Course You Need To Become A Data Scientist, Get Hired And Start A New Career

Note: 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 to the course

Lecture 2: Outline of the course

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

Chapter 2: Project-1: CarPricer: Fueling Car Prices – Build Car Prices Prediction App

Lecture 1: Introduction

Lecture 2: Machine Learning model building part1

Lecture 3: Machine Learning model building part2

Lecture 4: Machine Learning model building part3

Lecture 5: Creating Django Application part1

Lecture 6: Creating Django Application part2

Lecture 7: Deploying on Heroku

Lecture 8: Download the project files

Chapter 3: Project-2: LoveCounter: Counting Affairs – Build Affair Count Django App

Lecture 1: Introduction

Lecture 2: Intoductory Machine Learning model building

Lecture 3: Feature Building and Selection

Lecture 4: Model Building

Lecture 5: Django Application Introduction

Lecture 6: Django Application building

Lecture 7: Deploying on Heroku

Lecture 8: Download the project files

Chapter 4: Project-3: ShroomSense: Unveiling Fungal Delights – Build Shrooming Predictions

Lecture 1: Introduction

Lecture 2: Importing libraries and Understanding data

Lecture 3: Building the model

Lecture 4: Building Django Application

Lecture 5: Delpoying on Heroku

Lecture 6: Download the project files

Chapter 5: Project-4: PlayRater: Play Store Insights – Google Play App Rating Prediction

Lecture 1: Introduction – Google Play App Rating Prediction

Lecture 2: Introduction to libraries and dataset

Lecture 3: Preprocessing the data

Lecture 4: building the model

Lecture 5: Django Application

Lecture 6: Deploying to Heroku

Lecture 7: Download the project files

Chapter 6: Project-5: BankGuru: Banking on Customer Predictions

Lecture 1: Introduction

Lecture 2: Importing Libraries and understanding data

Lecture 3: Building and training the model

Lecture 4: Django Apllication

Lecture 5: Deploying on heroku

Lecture 6: Download the project files

Chapter 7: Project-6: ArtSculptor: Build Artist Sculpture Cost Prediction Django App

Lecture 1: Introduction

Lecture 2: Understanding the data

Lecture 3: Outliers and Model

Lecture 4: Building Django Application

Lecture 5: Deploying to Heroku

Lecture 6: Download the project files

Chapter 8: Project-7: MediCost: Healing Insights – Build Medical Cost Predictions Django

Lecture 1: Introduction – Build Medical Cost Predictions Django App

Lecture 2: Introduction and handling the data

Lecture 3: Building the model

Lecture 4: Django Application

Lecture 5: Heroku Deployment

Lecture 6: Download the project files

Chapter 9: Project-8: PhishGuard: Safeguarding the Web – Phishing Webpages Classification

Lecture 1: Introduction

Lecture 2: Understanding the data

Lecture 3: Feature Selection and model building

Lecture 4: Django Application

Lecture 5: Deploying on Heroku

Lecture 6: Download the project files

Chapter 10: Project-9: FashionFit: Fit for Style – Clothing Fit-Size Predictions Django App

Lecture 1: Introduction

Lecture 2: Understanding the data

Lecture 3: Cleaning the data

Lecture 4: Building the model

Lecture 5: Implementing Django Application

Lecture 6: Deploying to heroku

Lecture 7: Download the project files

Chapter 11: Project-10: TextSim: Unveiling Textual Connections – Build Similarity In-Text

Lecture 1: Introduction – Build Similarity In-Text

Lecture 2: Cleaning the data

Lecture 3: Building the model

Lecture 4: Implementing Django web application

Lecture 5: Deploying to Heroku

Lecture 6: Download the project files

Chapter 12: Project-11: ForgeryFinder: Unmasking Pan Card Tampering with AI – Deploy

Lecture 1: Introduction To Pan Card Tempering Detector

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 Heruko1

Lecture 7: Testing the deployed pan card detector

Lecture 8: Download code files

Chapter 13: Project-12: BreedRover: Fetching Dog Breeds with a Flask Twist

Lecture 1: Introduction to dog breed prediction

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 14: Project-13: AquaMark: Immortalizing Images with Watermark Wizardry – Deploy

Lecture 1: Introduction Image Watermarking

Instructors

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  • 3 stars: 2 votes
  • 4 stars: 5 votes
  • 5 stars: 27 votes

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