A reinforcement learning model specialized in stock prediction utilizing deep learning techniques, incorporating reward mechanisms, compatible with any machine equipped with Python.

A language model that generates text based on a given prompt.

This repository contains code for classifying galaxies into three classes: Galaxy, Quasar, and Star, using machine learning techniques. The dataset used in this project is the Sloan Digital Sky Survey (SDSS) dataset.

Compute the metric of text recognition algorithm.

Landscape of ML/DL performance evaluation metrics

Modelled data on various machine learning models like Support Vector Machine, Logistic Regression, KN Neighbors, Decision Tree Classifier, Random Forest Algorithm and Naive Bayes Classifier to compare the accuracy metrics for each algorithm.

The primary objective of this project is to develop a robust system capable of accurately classifying patient conditions solely based on their reviews. By leveraging advanced NLP techniques, the project aims to streamline the categorization process and provide valuable insights into patient health status.

The folliwing ML project involves EDA analysis of Election Dataset, Data preparation for modelling, and prediction using ML models. Also Text Analysis on the inaugral corpora from nltk to analyse the most frequently used words in Presidents' Speeches.

This is a Python notebook giving an overview and implementing the accuracy assessments in *Good practices for estimating area and assessing accuracy of land change* by Olfosson et al. (2014).

Day 9

learning python day 6

Using pyhthon with pandas and scikit-learn libraries to split, train, test and check the accuracy of DecisionTree model on top of diabetes dataset

It is a Titanic Survival Prediction using Machine Learning with Python.

Exploring Insights/Inferences by performing EDA on the given project data (50_Startups and Toyota Corolla data) . Model fitting via linear regression by Importing sklearn package. Selecting the best fitted model via python programming.

Resampling Tools for Time Series Forecasting with Modeltime

Evaluation of the performance of classification models can be facilitated through a combination of calculating certain types of performance metrics and generating model performance evaluation graphics. The purpose of this exercise is to calculate a suite of classification model performance metrics via Python code functions.

Multiple Object Tracking in video Using Deep learning

To Detect Early Sepsis Disease

Using Natural Language Processing alongside Machine Learning on Python to help detect fake product reviews on famous e-commerce sites with more accuracy!