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Data Science Bundle: 180 Hands-On Projects – Course 2 of 3

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Data Science Bundle: 180 Hands-On Projects – Course 2 of 3, available at $64.99, has an average rating of 4, with 424 lectures, based on 40 reviews, and has 1509 subscribers.

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You will learn about 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. Gain insights into the end-to-end product workflow of the Machine Learning lifecycle, ensuring you understand each phase deeply. Acquire the skills needed to deploy Machine Learning models, making them functional in a live environment. 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. Learn data-cleaning techniques to handle and remove outliers, ensuring data quality. Equip yourself with skills that are in high demand, increasing your chances of getting hired as a Data Scientist. 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 2 of 3

Summary

Title: Data Science Bundle: 180 Hands-On Projects – Course 2 of 3

Price: $64.99

Average Rating: 4

Number of Lectures: 424

Number of Published Lectures: 339

Number of Curriculum Items: 424

Number of Published Curriculum Objects: 339

Original Price: $94.99

Quality Status: approved

Status: Live

What You Will Learn

  • 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.
  • Gain insights into the end-to-end product workflow of the Machine Learning lifecycle, ensuring you understand each phase deeply.
  • Acquire the skills needed to deploy Machine Learning models, making them functional in a live environment.
  • 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.
  • Learn data-cleaning techniques to handle and remove outliers, ensuring data quality.
  • Equip yourself with skills that are in high demand, increasing your chances of getting hired as a Data Scientist.

Who Should Attend

  • Beginners in data science

Target Audiences

  • Beginners in data science

Unleash your data science mastery in this dynamic course! Learn to build and deploy machine learning, AI, NLP models, and more using Python and web frameworks like Flask and Django. Elevate your projects to the cloud with Heroku, AWS, Azure, GCP, IBM Watson, and Streamlit. Get ready to turn data into powerful solutions!

Enrolling in this course is a transformative decision for several compelling reasons. This dynamic program is meticulously designed to take you on a journey from theory to practical, hands-on mastery.

Firstly, you’ll delve into the exciting world of real-world machine learning and data-driven projects, offering you invaluable skills to solve complex problems.  Secondly, this course empowers you to unleash your data science prowess. You’ll not only learn to build and deploy machine learning, AI, and NLP models but also gain proficiency in using Python and web frameworks like Flask and Django. Elevate your projects to the cloud with Heroku, AWS, Azure, GCP, IBM Watson, and Streamlit, making your creations accessible to the world.

Moreover, you’ll navigate the entire project lifecycle, from ideation to deployment, gaining practical experience at every step. By working on real industry-inspired projects, you’ll develop the confidence and skills needed to excel in the real world

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

Data Science Projects:

Project-1: Developing an AI Chatbot using GPT-3.5

Project-2: American Sign Language Detection with CNN

Project-3: Builtup Area Classification using K-Means and DNN

Project-4: Clustering COVID-19 Research Articles using Vector Embeddings

Project-5: Crop Recommendation and Yield Prediction Model

Project-6: Generating Images with DCGAN Architecture

Project-7: Seizure Prediction using EEG Signals and SVM

Project-8: Music Genre Classification using Spectrometers

Project-9: Disease Detection from Symptoms using Transformers and Tokenizer

Project-10: Text Summarization with Advanced Techniques

Project-11: SentimentSense: Deciphering Sentiments – Sentiment Analysis Django App on Heroku

Project-12: AttritionMaster: Navigating the Path of Employee Attrition – Django Application

Project-13: PokeSearch: Legendary Pokemon Quest – Django App Adventure on Heroku

Project-14: FaceFinder: Unmasking Hidden Faces – Face Detection with Streamlit Magic

Project-15: FelineCanine: Pawsitively Classy – Cats Vs Dogs Classification Flask App

Project-16: RevGenius: Predicting Revenue Gems – Customer Revenue Prediction on Heroku

Project-17: VoiceGender: Vocal Clues Unveiled – Gender Prediction from Voice on Heroku

Project-18: EatSuggest: A Culinary Companion – Restaurant Recommendation System

Project-19: JoyRank: Spreading Happiness – Happiness Ranking Django App on Heroku

Project-20: WildFireWarn: Taming the Inferno – Forest Fire Prediction Django App on Heroku

Project-21: SonicWaveWhisper: Echoes of Prediction – Sonic Wave Velocity Prediction using Signal Processing Techniques

Project-22: PressureQuest: Delving into Pore Pressure – Estimation of Pore Pressure using Machine Learning

Project-23: SoundSorcerer: Enchanting Audio Processing – Audio Processing using ML

Project-24: TextTalker: Unveiling Textual Secrets – Text Characterization using Speech Recognition

Project-25: AudioMaestro: Harmonizing Audio Classifications – Audio Classification using Neural Networks

Project-26: VoiceCompanion: Your AI Voice Assistant – Developing a Voice Assistant

Project-27: SegmentSense: Uncovering Customer Segments – Customer Segmentation

Project-28: FIFAPhenom: Scoring Goals with FIFA 2019 Analysis

Project-29: SentimentWeb: Surfing the Waves of Web Scraped Sentiments – Sentiment Analysis of Web Scraped Data

Project-30: VinoVirtuoso: Unveiling the Essence of Red Wine – Determining Red Vine Quality

Project-31: PersonaProbe: Decoding Customer Personalities – Customer Personality Analysis

Project-32: LiterateNation: A Journey into India’s Literacy Landscape – Literacy Analysis in India

Project-33: CropGuide: Cultivating Crop Knowledge with PyQt5 and SQLite – Building Crop Guide Application

Project-34: PassKeeper: Safeguarding Secrets with PyQt5 and SQLite – Building Password Manager Application

Project-35: NewsNow: Unveiling the News with Python – Create A News Application

Project-36: GuideMe: Guiding You Along the Way – Create A Guide Application with Python

Project-37: ChefWeb: Savoring Culinary Delights – Building The Chef Web Application with Django, Python

Project-38: SyllogismSolver: Unlocking the Logic of Inference – Syllogism-Rules of Inference Solver Web Application

Project-39: VisionCraft: Crafting Visual Experiences – Building Vision Web Application with Django, Python

Project-40: BudgetPal: Navigating Financial Paths – Building Budget Planner Application with Python

Power BI Projects:

Project-41: Road Accident Analysis: Relations and Time Intelligence

Project-42: Generic Sales Analysis for Practice: Data Transformation

Project-43: Maven Toy Sales Analysis: Transformations and DAX

Project-44: Maven Pizza Sales Analysis: Transformations and DAX

Project-45: IT Spend Analysis: Variance of Global IT Firm

Project-46: Sales Data Analysis: Generic Super Market Sales

Project-47: Foods and Beverages Sales Analysis Dashboard

Project-48: Budget vs. Actual Spending Analysis Dashboard

Project-49: HR Analytics Dashboard: Attrition Analysis

Project-50: E-commerce Super Store Sales Analysis

Tableau Projects:

Project-51: Video Game Sales Dashboard: Gaming Market

Project-52: IMDB Movie Review Dataset Dashboard: Film Insights

Project-53: Goodreads Dataset Dashboard: Book Analysis

Project-54: Friends Sitcom Dashboard: TV Series Data Analysis

Project-55: Amazon Sales Dashboard: Online Retail Insights

Project-56: Hollywood’s Most Profitable Stories Dashboard: Film Analysis

Project-57: Netflix Dashboard: Streaming Service Performance

Project-58: TripAdvisor Hotel Review Dataset: Travel Analysis

Project-59: Breaking Bad Dashboard: TV Series Insights

Project-60: Customer Personality Analysis: Marketing and Sales Strategies

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: Developing an AI Chatbot using GPT-3.5

Lecture 1: Introduction – Developing an AI Chatbot using GPT-3.5

Lecture 2: create app

Lecture 3: Download the project files

Chapter 3: Project-2: American Sign Language Detection with CNN

Lecture 1: Introduction – American Sign Language Detection with CNN

Lecture 2: Data Reading and Processing

Lecture 3: Model – American Sign Language Detection with CNN

Lecture 4: Flask app

Lecture 5: Download the project files

Chapter 4: Project-3: Builtup Area Classification using K-Means and DNN

Lecture 1: Introduction

Lecture 2: Ground Truth

Lecture 3: Model

Lecture 4: Flask

Lecture 5: Download the project files

Chapter 5: Project-4: Clustering COVID-19 Research Articles using Vector Embeddings

Lecture 1: Introduction

Lecture 2: Model

Lecture 3: Download the project files

Chapter 6: Project-5: Crop Recommendation and Yield Prediction Model

Lecture 1: Introduction

Lecture 2: Model

Lecture 3: Flask

Lecture 4: Download the project files

Chapter 7: Project-6: Generating Images with DCGAN Architecture

Lecture 1: Introduction – Generating Images with DCGAN Architecture

Lecture 2: Model – Generating Images with DCGAN Architecture

Lecture 3: Flask

Lecture 4: Download the project files

Chapter 8: Project-7: Seizure Prediction using EEG Signals and SVM

Lecture 1: Introduction

Lecture 2: Data Processing

Lecture 3: Model

Lecture 4: Flask app

Lecture 5: Download the project files

Chapter 9: Project-8: Music Genre Classification using Spectrometers

Lecture 1: Introduction

Lecture 2: Data Processing

Lecture 3: Model

Lecture 4: Flask App

Lecture 5: Download the project files

Chapter 10: Project-9: Disease Detection from Symptoms using Transformers and Tokenizer

Lecture 1: Introduction

Lecture 2: Model

Lecture 3: Flask

Lecture 4: Download the project files

Chapter 11: Project-10: Text Summarization with Advanced Techniques

Lecture 1: Introduction

Lecture 2: Model

Lecture 3: Flask

Lecture 4: Download the project files

Chapter 12: Project-11: SentimentSense: Deciphering Sentiments – Sentiment Analysis Django A

Lecture 1: Introduction to Sentiment Analysis Logistic Regression

Lecture 2: Project Notebook Google Colab

Lecture 3: Building Django App

Lecture 4: Deploying APP In Heruko

Lecture 5: Download the project files

Chapter 13: Project-12: AttritionMaster: Navigating the Path of Employee Attrition – Django

Lecture 1: Introduction -Attrition Rate Django

Lecture 2: Creating Colab Notebook

Lecture 3: Creating Django App

Lecture 4: Deploying APP In Heruko

Lecture 5: Download the project files

Chapter 14: Project-13: PokeSearch: Legendary Pokemon Quest – Django App Adventure on Heroku

Lecture 1: Introduction -Working with Pokemon Dataset

Lecture 2: Creating Colab Notebook

Lecture 3: Creating DJango APP

Lecture 4: Deploying APP In Heruko

Lecture 5: Download the project files

Chapter 15: Project-14: FaceFinder: Unmasking Hidden Faces – Face Detection with Streamlit

Lecture 1: Introduction to face app

Lecture 2: Creating The Face App Using OpenCV

Lecture 3: Creating The face app opencv

Lecture 4: Creating the face app opencv

Lecture 5: Download the project files

Chapter 16: Project-15: FelineCanine: Pawsitively Classy – Cats Vs Dogs Classification Flask

Lecture 1: Introduction To Cats Vs Dogs Classification

Lecture 2: Creating Project Notebook

Lecture 3: Building Model -Colab

Lecture 4: Building Flask App

Lecture 5: Building Flask App Deployement

Lecture 6: Download the project files

Chapter 17: Project-16: RevGenius: Predicting Revenue Gems – Customer Revenue Prediction

Lecture 1: Introduction To Customer Revenue Prediction

Lecture 2: Colab Notebook Customer Revenue Prediction

Lecture 3: Creating Flask App

Lecture 4: Deploying Flask App

Lecture 5: Download the project files

Chapter 18: Project-17: VoiceGender: Vocal Clues Unveiled – Gender Prediction from Voice

Lecture 1: Introduction- Gender From Voice Prediction

Lecture 2: Creating Project Notebook- Gender From Voice Prediction

Lecture 3: Creating Project App Django

Lecture 4: Deploying The App

Lecture 5: Download the project files

Chapter 19: Project-18: EatSuggest: A Culinary Companion – Restaurant Recommendation System

Instructors

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  • 1 stars: 1 votes
  • 2 stars: 0 votes
  • 3 stars: 5 votes
  • 4 stars: 6 votes
  • 5 stars: 28 votes

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