HOT
blank

Real Life 5 Machine Learning and Data Science Projects[2024]

Development

Rating4.4
Enroll Now

Real Life 5 Machine Learning and Data Science Projects[2024], available at $39.99, has an average rating of 4.35, with 65 lectures, based on 287 reviews, and has 2125 subscribers.

You will learn about Learn to Upload Dataset in the Google Colab and find the path of the dataset Learn to read the dataset using Pandas Learn to use Google Colab for Machine Learning and Data Science Projects Learn to Handling Missing Values in the Real World Dataset for Categorical and Numerical Features Learn to perform Label Encoding Learn to Perform Splitting the Dataset in Training and Testing Learn to Model Formation using KNN, Logistic Regression, SVM, XGBoost Regressor Learn about Data Visualization using Seaborn and Matplotlib Learn to Build your own Predictive System Learn about Developing an intuition to solve Machine Learning and Data Science problem in Real World Learn to do Model Evalution using R Squared and Accuracy Score This course is ideal for individuals who are Ambitious beginners and Python Developers eager to unlock their true potential in Data Science and Machine Learning problem-solving. or Seasoned ML Experts, Data Scientists, and Data Analysts craving a rapid and turbocharged brush-up of their skills. or Visionaries and knowledge seekers yearning for a hands-on, project-based approach to Machine Learning and Data Science. or Anyone with a positive mindset, an insatiable thirst for knowledge, and the fiery ambition to seize unparalleled opportunities! It is particularly useful for Ambitious beginners and Python Developers eager to unlock their true potential in Data Science and Machine Learning problem-solving. or Seasoned ML Experts, Data Scientists, and Data Analysts craving a rapid and turbocharged brush-up of their skills. or Visionaries and knowledge seekers yearning for a hands-on, project-based approach to Machine Learning and Data Science. or Anyone with a positive mindset, an insatiable thirst for knowledge, and the fiery ambition to seize unparalleled opportunities!.

Enroll now: Real Life 5 Machine Learning and Data Science Projects[2024]

Summary

Title: Real Life 5 Machine Learning and Data Science Projects[2024]

Price: $39.99

Average Rating: 4.35

Number of Lectures: 65

Number of Published Lectures: 65

Number of Curriculum Items: 65

Number of Published Curriculum Objects: 65

Original Price: ₹2,699

Quality Status: approved

Status: Live

What You Will Learn

  • Learn to Upload Dataset in the Google Colab and find the path of the dataset
  • Learn to read the dataset using Pandas
  • Learn to use Google Colab for Machine Learning and Data Science Projects
  • Learn to Handling Missing Values in the Real World Dataset for Categorical and Numerical Features
  • Learn to perform Label Encoding
  • Learn to Perform Splitting the Dataset in Training and Testing
  • Learn to Model Formation using KNN, Logistic Regression, SVM, XGBoost Regressor
  • Learn about Data Visualization using Seaborn and Matplotlib
  • Learn to Build your own Predictive System
  • Learn about Developing an intuition to solve Machine Learning and Data Science problem in Real World
  • Learn to do Model Evalution using R Squared and Accuracy Score

Who Should Attend

  • Ambitious beginners and Python Developers eager to unlock their true potential in Data Science and Machine Learning problem-solving.
  • Seasoned ML Experts, Data Scientists, and Data Analysts craving a rapid and turbocharged brush-up of their skills.
  • Visionaries and knowledge seekers yearning for a hands-on, project-based approach to Machine Learning and Data Science.
  • Anyone with a positive mindset, an insatiable thirst for knowledge, and the fiery ambition to seize unparalleled opportunities!

Target Audiences

  • Ambitious beginners and Python Developers eager to unlock their true potential in Data Science and Machine Learning problem-solving.
  • Seasoned ML Experts, Data Scientists, and Data Analysts craving a rapid and turbocharged brush-up of their skills.
  • Visionaries and knowledge seekers yearning for a hands-on, project-based approach to Machine Learning and Data Science.
  • Anyone with a positive mindset, an insatiable thirst for knowledge, and the fiery ambition to seize unparalleled opportunities!

Real-Life Machine Learning and Data Science Projects [2023]: Unleash the Future of Data Mastery!

Are you ready to embark on an extraordinary voyage into the realm of Real Life Machine Learning and Data Science Projects? Brace yourself for an electrifying experience that will elevate your skills, boost your career prospects, and open the doors to limitless possibilities!

What Awaits You in this Cutting-Edge Course:

1. Data Empowerment: Navigate the vast data landscape with finesse as you learn to upload datasets in Google Colab and unleash the true potential of your data.

2. The Data Sorcerer: Unlock the secrets of data manipulation using the powerful Pandas library, transforming raw data into actionable insights.

3. The Data Alchemist: Harness the true power of Google Colab as you embark on thrilling Machine Learning and Data Science Projects that will leave you spellbound.

4. Mastering Real-Life Data Challenges: Fearlessly conquer missing values in real-world datasets, both categorical and numerical, becoming a data superhero.

5. The Code Whisperer:Unravel the language of data with Label Encoding, empowering you to speak the language of machines fluently.

6. Data Splitting Zen: Achieve data harmony through expertly splitting datasets into Training and Testing sets, laying the foundation for brilliant model creation.

7. The Model Architect: Build robust models using KNN, Logistic Regression, SVM, and XGBoost Regressor, transforming data into valuable predictions.

8. The Art of Data Storytelling: Immerse yourself in the mesmerizing world of Data Visualization using Seaborn and Matplotlib, weaving captivating tales from numbers.

9. Your Predictive Masterpiece: Create your very own Predictive System, making your mark in the world of Data Science and Machine Learning.

10. Unleash Your Inner Data Scientist: Develop a powerful intuition to tackle real-world Data Science and Machine Learning challenges with ease.

11.  Excellence in Model Evaluation: Master the art of Model Evaluation using R Squared and Accuracy Score, ensuring your models are nothing short of exceptional.

Who Will Conquer This Odyssey of Knowledge?

– Ambitiousbeginners and Python Developers eager to unlock their true potential in Data Science and Machine Learning problem-solving.

– SeasonedML Experts, Data Scientists, and Data Analysts craving a rapid and turbocharged brush-up of their skills.

– Visionariesand knowledge seekers yearning for a hands-on, project-based approach to Machine Learning and Data Science.

– Anyonewith a positive mindset, an insatiable thirst for knowledge, and the fiery ambition to seize unparalleled opportunities!

Join uson this extraordinary journey and witness the transformation that will skyrocket your career! Enrol now and experience the magic of Real Life Machine Learning and Data Science Projects [2023]!!!

Your future awaits! Let’s embark on this thrilling adventure together! Happy Learning!!!

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Welcome

Lecture 2: Course Layout

Lecture 3: Course Rating and Review

Chapter 2: Introduction to Google Colab

Lecture 1: Playing with Google Colab

Chapter 3: Flower Species Classification

Lecture 1: Problem Statement

Lecture 2: Playing with the Dataset

Lecture 3: Uploading the Dataset

Lecture 4: Importing Libraries

Lecture 5: Reading the Dataset

Lecture 6: Data Analysis

Lecture 7: Splitting Data

Lecture 8: Data Normalization

Lecture 9: Model Building and Prediction

Lecture 10: Finding Accuracy Score

Lecture 11: Summary of the Flower Species Classification

Chapter 4: Mushroom Classification

Lecture 1: Problem Statement

Lecture 2: Playing with the Mushroom Dataset

Lecture 3: Uploading the Dataset

Lecture 4: Importing Libraries

Lecture 5: Reading the Dataset

Lecture 6: Preprocessing the Data

Lecture 7: Splitting the Dataset into X and Y

Lecture 8: Training and Testing Data

Lecture 9: Playing with the Model

Lecture 10: Summary of the Mushroom Classification

Chapter 5: Credit Card Fraud Detection

Lecture 1: Problem Statement

Lecture 2: Understanding the Dataset

Lecture 3: Uploading Dataset in Google Colab

Lecture 4: Importing Libraries

Lecture 5: Reading the Dataset

Lecture 6: Distribution of Data

Lecture 7: Building New Dataset

Lecture 8: Splitting Dataset

Lecture 9: Training and Testing Data

Lecture 10: Training a Model

Lecture 11: Accuracy of the Model

Lecture 12: Summary of Credit Card Fraud Detection

Chapter 6: Big Mart Sales Prediction

Lecture 1: Problem Statement

Lecture 2: Understanding the Dataset

Lecture 3: Uploading the Dataset in Google Colab

Lecture 4: Importing Libraries

Lecture 5: Reading Dataset

Lecture 6: Handling Missing Data – Part1

Lecture 7: Handling Missing Data – Part2

Lecture 8: Data Analysis

Lecture 9: Data Visualization

Lecture 10: Data Preprocessing

Lecture 11: Playing with Label Encoding

Lecture 12: Splitting Dataset

Lecture 13: Training and Testing Data

Lecture 14: Playing with Model

Lecture 15: Summary

Chapter 7: Heart Disease Prediction

Lecture 1: Problem Statement

Lecture 2: Understanding the Dataset

Lecture 3: Uploading the Dataset in Google Colab

Lecture 4: Importing Libraries

Lecture 5: Reading Dataset and Doing Analysis

Lecture 6: Splitting Data into X and Y

Lecture 7: Training and Testing Data

Lecture 8: Model Training and Evaluation

Lecture 9: Building a Predictive Model

Lecture 10: Summary of Heart Disease Prediction

Chapter 8: Additional Contents

Lecture 1: Content 1

Lecture 2: Content 2

Lecture 3: What is MAchine Learning and Types- An Intro

Instructors

Rating Distribution

  • 1 stars: 5 votes
  • 2 stars: 6 votes
  • 3 stars: 23 votes
  • 4 stars: 110 votes
  • 5 stars: 143 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

You may also like

Best Software Testing Courses to Learn in February 2025

Best Quantum Computing Courses to Learn in February 2025

Best Mobile App Development Courses to Learn in February 2025