sklearn-metrics

There are 0 repository under sklearn-metrics topic.

rochitasundar / Predictive-maintenance-cost-minimization-using-ML-ReneWind
The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.
classification-algorithims cross-validation pipeline random-under-sampling randomizedsearchcv sklearn-metrics smote-sampling train-validation-test
Language:Jupyter Notebook 11
prakHr / NeuralNetworksAndFuzzyLogic
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
iris-dataset and-gate-implementation kfold-cross-validation holdout kmeans-clustering xor-neural-network logistic-regression ridge-regression stochastic-gradient-descent maximum-likelihood-estimation maximum-a-posteriori-estimation likelihood-ratio-test multilayer-perceptron-network radial-basis-function stacked-autoencoder extreme-learning-machine keras-models sklearn-metrics cnn-architecture matlab
Language:Jupyter Notebook 5
Ahmed-AI-01 / NLP
this repo will include all my work regarding NLP
kaggle kaggle-dataset nlp nlp-deep-learning nlp-library nlp-machine-learning nltk nltk-library nltk-python pandas pandas-python sklearn sklearn-classify sklearn-library sklearn-metrics sklearn-pipeline
Language:Jupyter Notebook 2
Anas436 / Customer-Category-Forecasting-Using-KNN-With-Python
jupyterlab matplotlib numpy pandas python3 scikit-learn sklearn sklearn-metrics
Language:Jupyter Notebook 2
MYoussef885 / Gold_Price_Prediction
The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.
data-science google-colab-notebook machine-learning matplotlib-pyplot numpy pandas-dataframe python seaborn sklearn-metrics
Language:Jupyter Notebook 2
shanuhalli / Assignment-Support-Vector-Machines
Classify the Size Categorie using SVM - the burned area of the forest (Small, Large) and Prepare a classification model using SVM for salary data.
assignment-17 classification kernel machine-learning model-selection sklearn-metrics support-vector-machine svm
Language:Jupyter Notebook 2
ab-aruneswaran / CAR_PRICE_PREDICTION
This is a python project for building a linear regression model that is used to predict used car prices from a given dataset using machine learning.
linear-regression matplotlib-pyplot numpy-library pandas-library sklearn-metrics
Language:Jupyter Notebook 1
abeed04 / Hotel-bookings-prediction-using-Machine-Learning
Random forest algorithm can be used to analyze hotel booking data and predict booking behavior. This allows hotels to optimize pricing strategies, staffing, and identify potential cancellations for proactive guest communication.
flask numpy pandas-dataframe pickle-file pycharm-ide python randomforestalgorithm sklearn-library sklearn-metrics
Language:HTML 1
Anas436 / Non-Linear-Regression-Analysis-with-Python
jupyterlab matplotlib-pyplot numpy python3 scikit-learn sklearn-metrics scipy
Language:Jupyter Notebook 1
Anas436 / Simple-Linear-Regression-With-Python
jupyterlab matplotlib-pyplot numpy pandas pylab python3 scikit-learn sklearn-linear-regression sklearn-metrics regression-models
Language:Jupyter Notebook 1
Arko-Sengupta / KnowGenius
KnowGenius an AI Chatbot who's a General Knowledge Genius!
flask flask-api flask-restful nltk nltk-corpus nltk-python nltk-tokenizer pandas pandas-dataframe pandas-datareader python python3 requests requests-python sklearn sklearn-metrics sklearn-vectorizer streamlit streamlit-component streamlit-webapp
Language:Python 1
benyanko / DeepLearningAndAI
A collection of Deep Learning And AI projects using Tensorflow and Keras
keras matplotlib-pyplot neural-networks numpy pandas python sklearn-metrics tensorflow
Language:Jupyter Notebook 1
HoHasby / Predict-breast-cancer-in-women_ensemble_stacking
Predict if a woman will develop breast cancer_Ensemble Techniques_Stacking
pandas-dataframe sklearn-classifier sklearn-dataset sklearn-library sklearn-metrics stacking
Language:Jupyter Notebook 1
MezbanS / Mercedes-Benz-Greener-Manufacturing
Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.
data-visualization dimensionality-reduction numpy pandas pca-analysis r2-score sklearn sklearn-metrics sklearn-model xgboost xgboost-regression
Language:HTML 1
miirshe / NLP-projects
matplotlib-pyplot numpy pandas sklearn-classifier sklearn-metrics sklearn-pipeline streamlit
Language:Jupyter Notebook 1
mounishvatti / machine_learning-Football-Prediction-
This repository consists of prediction of the football team winners using historical data with the help of machine learning algorithms
learning machine-learning machine-learning-algorithms python pandas sklearn-metrics
Language:Jupyter Notebook 1
Niteshchawla / LoanTap-LogisticRegression
Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?
confusion-matrix encoding feature-engineering featureimportance hyperparameter-tuning logistic-regression machine-learning numpy pandas-python precision-recall roc-auc-curve sklearn-metrics smote-sampling
Language:Jupyter Notebook 1
santoshn86 / Image-Classification
This is an end-to-end project wehre I have used my friends images dataset for Image classification using logistic regreesion. It's applications may be used in Security and Surveillance, Criminal's classification & detection .
data-science flask-server html-css-javascript jupyter-notebook machine-learning matplotlib-pyplot numpy opencv pandas python sklearn-metrics
Language:Jupyter Notebook 1
shanuhalli / Assignment-Neural-Networks
Predict the Burned Area of Forest Fire with Neural Networks and Predicting Turbine Energy Yield (TEY) using Ambient Variables as Features.
assignment-16 confusion-matrix deep-learning feature-engineering feature-selection hyperparameter-tuning keras label-encoder log-transformation machine-learning neural-network optimizer outlier-detection roc-auc-curve sklearn-metrics standard-scaler tensorflow
Language:Jupyter Notebook 1
shanuhalli / Assignment-Random-Forest
Use Random Forest to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.
adasyn assignment-15 classification counter feature-selection grid-search-cv imbalanced-data imblearn machine-learning pipeline random-forest sklearn-metrics smote smotetomek standard-scaler
Language:Jupyter Notebook 1
SmellyArmure / OC_DS_Project4
Anticipation des besoins en consommation électrique de bâtiments (OpenClassrooms | Data Scientist | Projet 4)
data-science machine-learning python regression-models data-analysis data-visualization model-optimization data-cleaning sklearn sklearn-metrics
Language:Jupyter Notebook 1
sultanazhari / negative-review-detection-model-
Film Junky Union, a new community for classic movie fans is developing a system to filter and categorize movie reviews, and its main mission is to train models to automatically detect negative reviews.
lightgbm-classifier logistic-regression matplotlib-pyplot nltk numpy pandas python3 seaborn sklearn sklearn-metrics spacy-nlp stopwords tfidf-vectorizer torch tqdm transformers
Language:Jupyter Notebook 1
swagatika15 / TEXT-CLASSIFICATION
The aim of this project is: 1.Perform Text Classification using Multinomial Naive Bayes 2. Implement Naive Bayes from scratch for Text Classification. 3. Compare Results of self implemented code of Naive Bayes with one in Sklearn. dataset used is 20_newsgroups
text-classification 20-newsgroup-dataset sklearn sklearn-metrics confusion-matrix naiv multinomial-naive-bayes pandas
Language:Jupyter Notebook 1
tmfreiberg / HAM10000-skin-lesion-classification
HAM10000 Skin Lesion Classification
cnn-pytorch convolutional-neural-networks efficientnetb0 medical-image-classification pytorch resnet-18 sklearn-metrics
Language:Jupyter Notebook 1
Vaidehinaik11 / Gender_classification
Classifying the person as male or female based on hairs, forehead size, nose shape, lips shapes, ect. using ML models
matplotlib pandas python seaborn sklearn sklearn-metrics sklearn-model keras tensorflow
Language:Jupyter Notebook 1
Vaidehinaik11 / Obesity-Classification
Classification of person as underweight, Normal weight, overweight or obese using different ML Models.
matplotlib pand python seaborn sklearn sklearn-metrics
Language:Jupyter Notebook 1
Vaidehinaik11 / walmart_weekly_sales_prediction
walmart stores weekly sales prediction using regression techniques.
matplotlib pandas python seaborn sklearn sklearn-metrics
Language:Jupyter Notebook 1
vaitybharati / Recommendation-Engine
Recommendation-Engine
python3 recommendation-engine cosine-similarity pairwise-distances sklearn-metrics
Language:Jupyter Notebook 1
2512ayushcad / Fake_News_prediction
Machine learning model
machine-learning matplotlib nltk python regular-expression seaborn sklearn sklearn-metrics wordcloud
Language:Jupyter Notebook 0
abeed04 / Bank-Credit-Risk-Model-using-Machine-Learning
Robust credit risk model that go beyond traditional credit scoring methods in banks
decision-tree-classifier flask machine-learning-algorithms pickle-file pycharm python sklearn sklearn-metrics
Language:Jupyter Notebook 0
chrssz / Classification-Support-Vector-Machine
Implementation of Support Vector Machine, and Random Forest Model using sklearn
sklearn sklearn-library sklearn-metrics
Language:Python 0
Sans03J / Car-Price-Prediction
A diverse dataset comprising various car attributes such as mileage, model year, brand, and more, our predictive model employs to accurately forecast the prices of audi car. From data preprocessing to model training and evaluation, our repository provides code implementation, enabling users to understand and replicate our results seamlessly.
libraries python catboost preprocessing sklearn-metrics sklearn-model
Language:HTML 0
KasiMuthuveerappan / LoanTap-LogisticRegression
📔 This repository delves into Logistic Regression for loan approval prediction at LoanTap. It covers data preprocessing, model development, evaluation metrics, and strategic business recommendations. Explore model optimization techniques such as confusion matrix, precision, recall, Roc curve and F1 score to effectively mitigate default risks.
confusion-matrix hypertuning kfold-cross-validation machine-learning numpy pandas precision-recall seaborn sklearn-library sklearn-metrics
Language:Jupyter Notebook
PoojaP-atil / Exploratory-Data-Analysis-EDA-and-Preprocessing
* Basis EDA * Handling Null/Missing Values * Handling Outliers * Handling Skewness * Handling Categorical Features * Data Normalization and Scaling * Feature Engineering
categorical-features eda feature-engineering missing-values normalization null-hypothesis outlier-detection outlier-removal scaling skewness sklearn-library sklearn-metrics
Language:Jupyter Notebook
Rachnathakur1997 / Python_Project
This github repository contains practice assignments on Python !
data-preprocessing datasets joblib linear-regression model-prediction pandas python sklearn sklearn-linear-model sklearn-metrics sklearn-model
Language:Python
shohail-DeV / Ai-Medical-Model
keras matplotlib numpy pandas pyplot scipy sklearn-metrics tensorflow
Language:Jupyter Notebook

sklearn-metrics

rochitasundar / Predictive-maintenance-cost-minimization-using-ML-ReneWind

prakHr / NeuralNetworksAndFuzzyLogic

Ahmed-AI-01 / NLP

Anas436 / Customer-Category-Forecasting-Using-KNN-With-Python

MYoussef885 / Gold_Price_Prediction

shanuhalli / Assignment-Support-Vector-Machines

ab-aruneswaran / CAR_PRICE_PREDICTION

abeed04 / Hotel-bookings-prediction-using-Machine-Learning

Anas436 / Non-Linear-Regression-Analysis-with-Python

Anas436 / Simple-Linear-Regression-With-Python

Arko-Sengupta / KnowGenius

benyanko / DeepLearningAndAI

HoHasby / Predict-breast-cancer-in-women_ensemble_stacking

MezbanS / Mercedes-Benz-Greener-Manufacturing

miirshe / NLP-projects

mounishvatti / machine_learning-Football-Prediction-

Niteshchawla / LoanTap-LogisticRegression

santoshn86 / Image-Classification

shanuhalli / Assignment-Neural-Networks

shanuhalli / Assignment-Random-Forest

SmellyArmure / OC_DS_Project4

sultanazhari / negative-review-detection-model-

swagatika15 / TEXT-CLASSIFICATION

tmfreiberg / HAM10000-skin-lesion-classification

Vaidehinaik11 / Gender_classification

Vaidehinaik11 / Obesity-Classification

Vaidehinaik11 / walmart_weekly_sales_prediction

vaitybharati / Recommendation-Engine

2512ayushcad / Fake_News_prediction

abeed04 / Bank-Credit-Risk-Model-using-Machine-Learning

chrssz / Classification-Support-Vector-Machine

Sans03J / Car-Price-Prediction

KasiMuthuveerappan / LoanTap-LogisticRegression

PoojaP-atil / Exploratory-Data-Analysis-EDA-and-Preprocessing

Rachnathakur1997 / Python_Project

shohail-DeV / Ai-Medical-Model