Mukesh Pawar's starred repositories
Kaggle-Courses
Kaggle Course
Employee-Performance-Analysis
In this IABAC project Analyze employee performance and predict ratings using machine learning. using classification approach with machine learning models such as Support Vector Classifier and Artificial Neural Network. project goal is providing accurate performance rating predictions and valuable insights into driving factors.
Sales-Effectiveness
In this project utilizes Machine Learning in FicZon Inc's lead management system to evaluate lead quality and enhance sales.By using Machine Learning, we want to predict which leads are really promising and which ones might not be as good for business.
Automobile-price-prediction
In this project, the task involves predicting car prices by training the model with a dataset containing various features and parameters of used cars. After experimenting with several algorithms, XGBoost (XGB) consistently exhibits the highest performance in price prediction across all metrics employed.
Portuguese-Bank-Marketing
The Project is related to direct marketing campaigns of a Portuguese banking institution. The classification goal and task is to predict if the client will subscribe a term deposit (variable y).We used different type of model XGB and logistic model gives highest accuracy.
Rice--Leaf-disease-detection
In this project, implemented rice leaf disease detection using a deep learning model with a limited dataset. Employed extensive image augmentation techniques and a CNN model, with the primary goal being accurate disease recognition.
Breast_Cancer_Prediction_Using_Artificial_Neural_Network_ANN
In this Project we will be focusing on comparing the performance of machine learning techniques on predicting whether the cancer is Benign or Malignant according to a provided dataset involving breast cancer diagnosis.
HR_Employee_Attrition_using_Support_Vector_Machine
In this Project the main goal is to predict whether an employee will leave the company or not.
Perceptron-Algorithm
In this algorithm we used single perceptron and we get conclusion single layer perceptron is not work on non linear data
100_Days_of_Python
Welcome to my 100-day Python learning journey repository! ๐ In this repository, I embark on a comprehensive 100-day exploration of Python programming, starting from the very basics and progressively advancing to more complex concepts. Each day of this journey, I commit to sharing my progress with you, providing detailed insights, explanations....
Pothole-Detection
Visual Intelligence For Road Safety: Potholes Detection Using YoloV5
BREAST-CANCER-DETECTION-USING-MACHINE-LEARNING-CLASSIFIER
Breast cancer detection using machine learning classification is a project where you build a model to identify whether a given set of medical features indicates the presence of breast cancer. This project involves using a labeled dataset of medical records, where each record is classified as either indicating breast cancer or not.
Kaggle-Challenges
DataScience projects for learning : Kaggle challenges,
Directing-Customers-to-Subscription-Products-through-App-Behavior-Analysis.
The objective of this model is to predict which users will not subscribe to the paid membership, so that greater marketing efforts can go into trying to convert them to paid users.
DIABETIC-RETIONOPATHY-DETECTION
Diabetic Retinopathy (DR) is a diabetes complication that affects the eyes. It is caused by damage to the blood vessels of the light-sensitive tissue at the back of the eye (retina). DR can lead to blindness if not detected and treated early.
Kolmogorov-Arnold-Network-theorem
Kolmogorov-Arnold Networks (KANs) are a type of neural network inspired by the Kolmogorov-Arnold theorem.
Universal-Approximation-Theorem
The Universal Approximation Theorem implies that neural networks can approximate any continuous function given enough neurons and layers.
PYTORCH
PyTorch is an open-source machine learning library developed by Facebook's AI Research lab (FAIR). It is widely used for deep learning applications and is known for its ease of use, flexibility, and dynamic computation graph, which allows for more intuitive and flexible model building compared to static graph frameworks like TensorFlow.
PYTHON-FOR-DATA-SCIENCE
Welcome to my 'Python' challenge repository!
OCULAR-DISEASE-RECOGNITION
Ocular Disease Intelligent Recognition (ODIR) is a structured ophthalmic database of 5,000 patients with age, color fundus photographs from left and right eyes and doctors' diagnostic keywords from doctors.
FOOD-CHATBOT
MunchMate Foodbot blends an intuitive website with an intelligent chatbot to redefine food ordering. Powered by advanced NLP techniques, the chatbot engages users in natural conversations, offering personalized recommendations and seamless order placement.
MOVIE-RECOMMENDATION-SYSTEM
Movie Recommendation System ๐ฌ Welcome to the Movie Recommendation System!