AI Councel Lab

Created dashboards on Looker, Power BI & Tableau  Power BI Dashboard:  https://drive.google.com/file/d/1izIJOq0mk-Irg1uRboD_3H9IoX44yZex/view?usp=drive_link Tableu Dashboard:  https://public.tableau.com/app/profile/raghvendra.singh4020/vizzes Looker Dashboard: https://lookerstudio.google.com/reporting/c7ed19af-48c8-4e13-9cdc-859047999a16/page/FKgRB

🔍 Project Overview  This project demonstrates the application of inferential statistics to solve multiple real-world problems across sports analytics, manufacturing quality control, marketing operations and healthcare . The objective was to move beyond descriptive statistics and apply probability theory, hypothesis testing, and ANOVA techniques to draw meaningful conclusions and support data-driven decision-making. Download Complete Report from Git Open on Git 🎯 Key Objectives Apply probability concepts to real datasets Use normal distribution and Z-tests for quality analysis Perform hypothesis testing (Z-test, T-test) Analyze multi-factor effects using One-Way & Two-Way ANOVA Translate statistical results into business insights and recommendations 🧠 Problem 1: Sports Injury Probability Analysis Business Question Can player position help explain the likelihood of foot injuries in a football team? Approach Used conditional probability and join...

The ads24x7 is a Digital Marketing company which has now got seed funding of $10 Million. They are expanding their wings in Marketing Analytics. They collected data from their Marketing Intelligence team and now wants you (their newly appointed data analyst) to segment type of ads based on the features provided. Use Clustering procedure to segment ads into homogeneous groups. View Python Code View Pdf Report 🔍 Project Objective This project focuses on applying unsupervised machine learning and dimensionality reduction techniques to solve two real-world analytical problems: Segment digital advertisements based on performance metrics to optimize marketing strategy. Reduce high-dimensional census data using PCA to extract meaningful population insights efficiently. The project demonstrates strong skills in EDA, clustering, PCA, business interpretation, and actionable recommendations . 🧠 Part 1: Digital Marketing Ads Clustering (Business Analytics + ML) 📌 Problem Statement A digital ...

Poetry is the rhythmical creation of beauty in words.     – Edgar Allan Poe Now, imagine that beauty, powered by AI. Welcome to AI Councel Lab , your go-to space for cutting-edge AI tools that blend creativity and intelligence. Today, we're thrilled to introduce a truly unique creation: The  Cat Poet — a next-generation poetic companion that turns your ideas into art. ✨ What Is The AI   Cat Poet ? Try Cat Poet App Now → The Cat Poet is an AI-powered poetry generator designed to take a keyword or phrase of your choice and craft beautiful poems in a wide range of poetic styles — from minimalist Haikus to heartfelt Elegies , powerful Odes , and over 30 diverse poetic forms . Whether you're a writer, student, creative thinker, or someone just looking for a moment of lyrical joy, The Cat Poet is here to inspire you. 🧠 How It Works Simply enter a word, feeling, or concept — and let the AI weave its magic. Behind the scenes, a fine-tuned language model selects from a c...

Chatbots have become an essential tool for businesses and individuals alike, helping automate customer support, generate content, and provide instant interactions. With the rise of Large Language Models (LLMs) like Deepseek, building a sophisticated chatbot has never been easier. In this blog post, we’ll walk you through how to build a chatbot using Deepseek LLM, including code examples and tips for enhancing your chatbot’s performance. What is Deepseek LLM? Deepseek LLM is a powerful AI model that can understand and generate human-like text based on user input. By integrating it into your chatbot, you can create an engaging and intelligent conversational experience that mimics human interaction. Step 1: Set Up Deepseek LLM To get started, you'll first need to access the Deepseek API. Make sure you have a valid account and API key to interact with the model. Here are the general steps to obtain access: Sign Up or Log In : Head to Deepseek's platform and sign up for an ac...

  In the world of data science, text analytics plays a crucial role in deriving insights from large volumes of unstructured text data. Whether you're analyzing customer feedback, social media posts, or web articles, natural language processing (NLP) can help you extract meaningful information. One interesting challenge in text analysis involves handling HTML content, extracting meaningful text, and performing sentiment analysis based on predefined positive and negative word lists. In this blog post, we will dive into how to use Python and NLP techniques to analyze text data from HTML links, filter out stop words, and calculate various metrics such as positive/negative ratings, article length, and average sentence length. Prerequisites To follow along with the examples in this article, you need to have the following Python packages installed: requests (to fetch HTML content) beautifulsoup4 (for parsing HTML) nltk (for natural language processing tasks) re (for regular exp...