"Overwhelmed by ML, but excited to start building my first model"

Adding a touch of randomness to data can make testing and learning much more powerful. 🎯 Here’s a quick demo on using randint() with Pandas — a simple yet effective trick for creating dynamic datasets in Python. Whether you’re experimenting, building simulations, or just exploring data behavior, this approach keeps things flexible and fun. 💬 I’d love to hear how you use randomness in your data projects — share your thoughts below! #Python #Pandas #DataScience #MachineLearning #Coding #Learning #Analytics

Day 11 – PYTHON VARIABLES 🧠🐍 (My Techrise cohort 2 journal) Today in my TechRise Cohort 2 journey, I learned about Python Variables — the building blocks of every program! Variables are like containers that hold data, and I explored different data types such as integers, floats, strings, booleans, and even complex numbers. I also practiced data type conversion in Python using simple code examples. Here’s a quick snippet from my learning: a = 10 k = float(a) p = complex(a) print(k) print(p) Every new lesson makes Python more exciting and practical for real-world AI and Machine Learning applications. 🚀 #TechRiseCohort2 #Python #AI #MachineLearning #CodingJourney #DigitalSkills

A mini project about Supervised Learning, applied it by predicting house prices using the California Housing Dataset from Kaggle. Tools: Python, Pandas, Scikit-learn, Matplotlib Steps: Cleaned and visualized the dataset Trained a Linear Regression model Evaluated using mean squared error and r2 score Achieved an RMSE of 69,297.72 and visualized predictions vs actual prices. GitHub: https://lnkd.in/d8CkpV_b #MachineLearning #DataScience #Python #LearningJourney #AI

This is still the way I recommend most people start with machine learning: 1. Start with Python 2. Learn to use Google Colab 3. Take a Pandas tutorial 4. Then a Seaborn tutorial 5. Learn how to use Decision Trees 6. Finish Kaggle's "Intro to Machine Learning" 7. Solve the Titanic challenge

This is still the way I recommend most people start with machine learning: 1. Start with Python 2. Learn to use Google Colab 3. Take a Pandas tutorial 4. Then a Seaborn tutorial 5. Learn how to use Decision Trees 6. Finish Kaggle's "Intro to Machine Learning" 7. Solve the Titanic challenge

My First Machine Learning Project Just finished building a Linear Regression model that predicts student exam scores based on study hours, attendance, and previous performance. This graph shows how closely the model’s predictions match the actual results a great way to visualize learning progress through data. Built from scratch using Python, Pandas, NumPy, Matplotlib, and Scikit-learn. Check out the full project here: https://lnkd.in/dUQFv978 #MachineLearning #Python #DataScience #LinearRegression #BeginnersProject

Day 12 – STRINGS IN PYTHON 🐍✨ In today’s TechRise Cohort 2 class, I explored one of the most exciting parts of Python — Strings! I learned how to: 🔹 Find the length of a word using len() 🔹 Slice and access specific letters 🔹 Change text cases (upper, lower, title) 🔹 Replace words or letters 🔹 Combine (concatenate) strings 🔹 Format text dynamically using f-strings Here’s a quick example I enjoyed: x = "House" y = "Hold" z = x + y print(z) X = 20 a = f"I have {X} naira" print(a) Every new concept in Python makes coding feel more exciting and creative! 🚀 You can run this code and tell me what you got in the comment section. #TechRiseCohort2 #Python #AI #MachineLearning #Coding #DigitalSkills #LearningJourney

Day 10 – PYTHON VARIABLES 🧠🐍 (MY TechRise cohort 2.0 journal). Today in my TechRise Cohort 2 journey, I learned about Python Variables — the building blocks of every program! Variables are like containers that hold data, and I explored different data types such as integers, floats, strings, booleans, and even complex numbers. I also practiced data type conversion in Python using simple code examples. Here’s a quick snippet from my learning: a = 10 k = float(a) p = complex(a) print(k) print(p) Every new lesson makes Python more exciting and practical for real-world AI and Machine Learning applications. 🚀 #TechRiseCohort2 #Python #AI #MachineLearning #CodingJourney #DigitalSkills