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Real Life Machine Learning and Data Science Projects

person icon SHEIK JAMIL AHMED

4

Real Life Machine Learning and Data Science Projects

Build Predictive Model for Heart Disease Classification, Identifying Poisonous Mushroom and many more Hands-On Projects

updated on icon Updated on Apr, 2024

language icon Language - English

person icon SHEIK JAMIL AHMED

category icon Machine Learning,Data Science and AI ML,Artificial Intelligence,Data Analytics,Data Visualization,

Lectures -61

Resources -7

Duration -2.5 hours

4

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Course Description

 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:

1️⃣ 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.


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


3️⃣ 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.


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


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


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


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


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


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


1️⃣1️⃣ Unleash Your Inner Data Scientist: Develop a powerful intuition to tackle real-world Data Science and Machine Learning challenges with ease.


1️⃣1️⃣ ? 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?

- 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!


 Join us on 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!!! 


Goals

What will you learn in this course:

  1. Learn to Upload Dataset in the Google Colab and find the path of the dataset
  2. Learn to read the dataset using Pandas
  3. Learn to use Google Colab for Machine Learning and Data Science Projects
  4. Learn to Handling Missing Values in the Real World Dataset for Categorical and Numerical Features
  5. Learn to perform Label Encoding
  6. Learn to Perform Splitting the Dataset in Training and Testing
  7. Learn to Build your own Predictive System
  8. Learn to do Model Evalution using R Squared and Accuracy Score

Prerequisites

What are the prerequisites for this course?

  • Basic of Python Programming
  • A willingness to learn and apply the concept
  • Internet Connection
Real Life Machine Learning and Data Science Projects

Curriculum

Check out the detailed breakdown of what’s inside the course

Course Introduction
1 Lectures
  • play icon Course Welcome 00:56 00:56
Doing Things in Google Colab
1 Lectures
Tutorialspoint
Flower Species Classification
11 Lectures
Tutorialspoint
Mushroom Classification
10 Lectures
Tutorialspoint
Credit Card Fraud Detection
11 Lectures
Tutorialspoint
Big Mart Sales Prediction
15 Lectures
Tutorialspoint
Heart Disease Prediction
10 Lectures
Tutorialspoint
Additional Content
2 Lectures
Tutorialspoint

Instructor Details

SHEIK JAMIL AHMED

SHEIK JAMIL AHMED

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