Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

🏏 Explore insights and predictions derived from three years of IPL data (2021-2023) using Power BI. Uncover top-performing players, teams, and predictive analytics for the 2024 season. 📊💡 #IPL #Cricket #DataAnalysis

🔮 Future predictions and notes.

A data mining project that tries to predict future booking cancellations using two different machine learning models.

BitForecast is a simple project based on Time Series Data Analysis which helps to predicts/forecasts the value of bitcoin in the near future.

SLAMP: Stochastic Latent Appearance and Motion Prediction

Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"

The aim of this repo is to predict forecast for the future of a specific area, where up to 30 years forecast being predicted using Prophet Model.

Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

It's about my analysis on large and real life problem based data set available @Kaggle and applied machine learning and Deep learning techniques to build necessary model. Follow me on @Kaggle : https://www.kaggle.com/harshkothari21

Approximating a 3DCNN with a 2DCNN