Aimped AI’s Post

Imagine being able to talk to your data like you would to a colleague! The PandasAI library lets you do just that, using everyday language to explore, visualize, and refine your data. Ask questions, create visualizations, and even improve data quality with automatic feature generation. Behind the scenes, advanced language models (LLMs) work their magic to turn your natural language queries into actionable Python code and SQL commands. #PandasAI #DataAnalysis #LLM

🚀 Exploring Non-Euclidean Clustering Algorithms! 🌐 Excited to share my latest project on clustering in non-Euclidean spaces using spherical and hyperbolic distance metrics. Dive into the code and visualizations to see how we can push the boundaries of traditional clustering methods. Check it out on Colab: https://lnkd.in/gY-D6YF3 #DataScience #MachineLearning #Clustering #NonEuclidean #AI #Python

Lectures 10, 11, and 12 Highlights: Advanced AI with Sir Irfan Malik As-salamu alaykum! Today, in our Advanced AI Learning Journey, we are covering three essential lectures with Sir Irfan Malik. In these sessions, we will discuss: - Conditional statements - Loops (while loops and for loops) - User-defined functions in Python - Open Ai To enhance your learning experience, we've prepared a Colab notebook with practical exercises. Check out the link below and follow along with the exercises. 📚 Colab Notebook Link of Lecture 10 https://lnkd.in/d_fNBGFy 📚 Colab Notebook Link of Lecture 11 https://lnkd.in/dA67vN-P 📚 Colab Notebook Link of Lecture 12 https://lnkd.in/dEfsjd5v Let's continue building our Python skills together! #AI #Python #Functions #Loops #ConditionalStatements #LearningJourney #ZeonSolutions #TechSkills #ContinuousLearning

Hello Connections! 😊 Today, I am excited to share the completion of my latest project in the AI field: YouTube Analysis Using Python. 📊🔍 In this project, I delved deep into YouTube's data, leveraging advanced data analytics to uncover key insights and trends through real-time data scraping and analysis. Here’s a glimpse of what I have accomplished: https://lnkd.in/dJipG6Dj #DataScience #MachineLearning #Python #YouTubeAnalytics #AI #trending #ArtificialIntelligence

If you're like me and sometimes run into GPU limitations on your local machine, I Tried a neat workaround to run Ollama in Google Colab, allowing you to leverage Colab's resources for your AI projects. You can find how To set it up Here : https://lnkd.in/deU6-HHY #GenerativeAI #LLM #RAGsystems #ArtificialIntelligence #MachineLearning #DataScience #AIResearch #TechInsights #AIApplications #AICommunity #Ollama #Python

Lately, I've been reading a lot about creating Neural Networks with Python and NumPy. The whole process has been fascinating and informative. Below is a Neural Network solving the classic XOR gate problem:

Review of AI LLM THUDM/codegeex4-all-9b code generation Its a new 9 billion parameters specialized for code generation. It did not run on a T4. Ran out of GPU memory but ran well on A100 GPU. Need Max output token limit increased depending upon the output size. Also, need hugginface token to download the model from huggingface. It created python code that worked for mendelbrot, julia, and iterated fern, failed on sepienski and koch snowflake. It did very well in creating python code for solving differential equations, including the mechanical vibration problems. One can view the example in this Google Colab notebook https://lnkd.in/gaBkqvVv #AI #LLM #CODE #GENERATION #Python

I happened to come across the DEEL (Dependable, Explainable, Embeddable Learning) project. 👉 https://www.deel.ai/ ➡️ Description of DEEL libraries: https://lnkd.in/dS72yxjW Under this project, five 5 #opensource libraries have been developed and one of them is 'puncc' - the #python library for predictive uncertainty calibration & conformalization. It integrates a collection of conformal prediction algorithms and associated techniques for diverse #ml tasks, including ⭐ conformal regression ⭐ conformal classification ⭐ conformal anomaly detection.   Tutorial: https://lnkd.in/dfGFscUD Documentation: https://lnkd.in/dn6Ukzze I explored the library for (conformal) anomaly detection in timeseries data. Check it out.

🚀 Excited to share my latest project on predicting calories burnt using Machine Learning with Python! 📊 I dove into the world of data and machine learning to create a model that accurately predicts calories burnt during various activities. Here's a breakdown of what I did: 1. Data Collection: Gathered datasets from online sources and merged them into one comprehensive dataset. 2. Data Preprocessing: Checked for missing values and cleaned up the dataset to ensure accurate predictions. 3. Data Analysis: Delved into the data to uncover insights and relationships between different variables. 📈 4. Visualization: Created visualizations like graphs and heatmaps to better understand correlations within the data. 5. Model Building: Used the powerful XGBoost Regressor model to train on the data and make predictions. 6. Evaluation: Compared predicted values with the original data to evaluate the model's performance. Achieved a minimized error of just 1.48, which is definitely acceptable! 🎉 Thanks to Siddhardhan S sir for sharing your invaluable knowledge. Here is Project link 🔗 : https://lnkd.in/gK7Saywm This project was an exciting journey into the world of machine learning and its practical applications. Looking forward to practice more projects like this! 🔍💡 #MachineLearning #Python #DataScience #XGBoost #CaloriesPrediction #DataAnalysis #numpy #pandas #jupyter #sklearn #ArtificialIntelligence

📊 **Netflix Data Analysis with Python in Google Colab** 📊 I recently completed a project analyzing Netflix data using Python in Google Colab. This project involved data cleaning, exploratory data analysis, and visualization to uncover insights about Netflix's content library. Key findings: - Distribution of movies and TV shows - Trend of content added over the years - Content ratings and their distribution - Duration analysis of movies and TV shows Check out the detailed analysis https://lnkd.in/d45VufTk. #DataScience #Python #Netflix #DataAnalysis #GoogleColab