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Python is a beginner-friendly and powerful programming language, perfect for diving into data science. Start by learning the basics like variables, loops, and functions. Explore popular libraries such as Pandas for data manipulation, NumPy for nume

Day 6 of learning Data Science as a beginner. Topic: creating NumPy arrays NumPy arrays can be created using various ways one of them is using python list and converting it into a numpy array however this is a long way here you first create a pytho

I’ve been strengthening my data analysis and visualization fundamentals by building multiple end-to-end analytical projects using Python, Pandas, Matplotlib, and Seaborn. Projects worked on: Video Game Market Analysis Football Performance Analysis (

NumPy 2.0: A Game Changer (Released June 2024) NumPy 2.0, released in June 2024, is a major update for scientific computing in Python. Here's what's exciting: Variable-length strings: Finally! Store and manipulate text data with ease using new `Str

Day 16 of learning Data Science as a beginner. Topic: plotting graphs using matplotlib matplotlib is a the most fundamental plotting library in Python we typically use matplotlib.pyplot module in python you can understand it as the paintbrush whic

Apartment with there own Mini store without on-site staff No need to order from online instead of using ministore 24*7

I am currently doing my clg project on "Time series data classification using transformer models". the dataset is based on patient temperature data. where our project goal is to classify patients to their respective disease based on only temperature

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Hello everyone, I am a recent college graduate with a degree in Information Technology, and I am actively seeking internship opportunities in the Data Analytics field. I have hands-on experience with advanced Excel, Power BI , Python libraries such

🌦 Weather Prediction Using Machine Learning 📊 I’m excited to share one of my recent projects — a Weather Prediction Model built using machine learning! 🚀 📌 Project Overview: The model was trained to predict temperature based on historical weath