Data Science

Welcome, data science enthusiasts! 🎉 Today, we’re diving into an exciting comparison between the classic IRIS dataset and the MCQ exam analogy. Imagine this: the IRIS dataset is your study material 📖, and each machine learning algorithm is like a student preparing for the ultimate exam ! 🧑‍🏫 Just as a student trains with sample questions and practices multiple-choice answers, our algorithms train on the IRIS dataset, learning to identify patterns and make predictions on unseen data (just like the exam). And when it’s time for the test? They apply all their knowledge to predict flower species 🌸, just as the student answers the MCQs with their best guess. So, buckle up for a fun ride, as we compare how different algorithms perform on this exam – each trying to score the highest accuracy! 🎯💯

Think of Data Science like enjoying a hearty South Indian thali — a perfect balance of flavor, variety, and technique. Just like your banana leaf meal has rice, sambar, rasam, poriyal, kootu, appalam, pickle, and that sweet payasam at the end, data science too has its essential components — and when they all come together, it's pure satisfaction! 😄 Let’s break it down, thali-style: 🥗 Classification is like choosing your side dishes — you know what's poriyal, what's kootu, and what's pickle just by the look and taste. Classification helps label and sort data into known categories. 🍛 Clustering is that moment when you explore your meal without labels — you find that all crispy items go together, or all tangy ones are grouped. That’s what clustering does — it finds natural groupings in data without being told. 📈 Regression is like predicting how much rice you’ll need based on the number of dishes — it’s all about predicting future values based on past trends...

Hello dear Learners, This is a small work on Data Analysis and Visualization for the Product data. The dataset is also created in a unique way for the learners to get different data during each execution. Some of  the basic Pandas queries are also provided. Some basic charts are also given. Have a look. Finally a simple case study with Regression is also available. Practice. Comment your doubts! Looking forward to do more explorative hands on like this!  Keep Learning! Keep Exploring! Keep Rocking folks! :) 📘 Open Data Analysis and Visualization Notebook in Colab

 Hello folks, As like Dhoni addressing the CSK crowd, 'Vanakkam Chennai', VANAKKAM to all my Coding Aspirants!! IPL Fever starts today. It was like 2023 has just began, one fourth of the year is over already. The next two months will compete Usain Bolt and run in thaaaat speed. Yes, its the treat to all Cricket lovers. a gang of friends turn into rival as CSK vs MI vs RCB vs soooo on. Hey Dhoni will rock. No, MI are the champions. Let's pray for RCB to win the cup this year. These are all the statements we hear all around.  Along with the IPL interest, let's enrich our Coding knowledge too with little bit of Python and Data Science. Let's have a simple Word Cloud Program with the winning speeches of Namma Thala Dhoni and our very own Hitman Rohit! The heroes of IPL Winning Teams. There is a race between these two teams to win the maximum trophies. Both are heroes to millions of people in India. People from TN support MI and people all over India chant Dhoni Dhoni!! ...

 Hi enthusiasts.. This is a small initiative to make the language promulgate from a novice view to the expert view. Let us all join together to learn  Python from Scratch  to become a  Python King or Queen. Are you guys ready? Being a 90s kid, I was taught the language C in my 9th grade; followed by C++ in my 12th grade. Then the powerful Java came into my book of studies in my Under graduation. At a stage, I got perplexed, are we moving in the right track? I could arrive at the answers in a slow pace. I got clear of the logics of C in my UG final year which I was introduced in my early education before 10th. This dilemma is not only in my case, but everyone. Then I began my track of learning with the very beginning course of Programming - SCRATCH ( https://scratch.mit.edu/ ) - the software developed by MIT people  to understand the Logic. It could teach even a 8 year old kid to understand Programming. Slowly and steadily, then I got into the world of Python and...

Create a twitter account. Sign up and sign in. Click on to the manage apps. Create a new application with name and description. Create the access token and note the Consumer token and Consumer Secret.  Refer the following link to create a Twitter API to extract tweets. with pictorial explanation. https://iag.me/socialmedia/how-to-create-a-twitter-app-in-8-easy-steps/ The package to be used to extract the current Twitter trends using R tool is, twitteR - it provides interface to the Twitter API. library(twitteR) As the next step, we have to set the WOEID (Where On Earth IDentifier). For India, the WOEID is 23424848 woeid <- 23424848 The next step is to set up the Twitter Authentication. For this, we need, API Key, API Secret, Consumer Key and Consumer Secret. api_key <- "xxxxxxx" api_secret <- "xxxxxxx" consumer_key <- "xxxxxxx" consumer_secret <- "xxxxxxx" Set up the direct authentication usin...