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algorithmic-trading-automated-stock-open-price-prediction

audio-classification

books

Important Books in Reference to Data Science

boosting

color-detection

consumer-complaint-classification-using-machine-learning

credit-risk-eda

This repository contains the exploratory data analysis with different graphical and visual representations along with python code to make data useful for futher model building and gaining insights out of it by cleaning and sorting it.

customer-segmentation-clustering-analysis-

decision-tree-using-hyperparameter-tuning

In the given repository you will find the data for heart disease patents and performed machine learning over Heart disease prediction using descision tree

deep-learning

eda-and-logistic-regression-using-python

ensemble-techniques

Ensemble learning involves combining multiple models to improve predictive performance. Some common ensemble techniques include: Bagging, Boosting, Random forest, Undersampling, Oversampling, Tomek links, SMOTE, ADASYN, SMOTE+TOMEK

exploratory-data-analysis

EDA

gold-price-analysis

Complete analysis of gld prices over the period of more than 2 decades.

gradient-descent

In this repository you can explore how we can use gradient descent algoritham in order to minimize cost function using python

hyperparameter-optimization-for-xgboost

hypothesis-testing

image-based-caption-generator-with-cnn-and-lstm

image-segmentation

inferential-statistics-and-central-limit-theorem

Given repository have the inferential statistics and central limit theorem solved using python.

k-means-clustering-segmentation

Welcome to the Repository! This repository contains implementations and examples of two popular clustering algorithms: K-means clustering and Hierarchical clustering. Clustering is an essential technique in unsupervised machine learning used to group data points based on similarity.

k-nearest-neighbors

keras-tuner

lead-scoring-case-study

linear-regression

In the given repository i have solved a simple liner regression problem and it also contains the excel sheets with demonstartions.

logistic-regression

This Repository contains all explanation of univariate and multivariate logistic regression with the calculations using excel.

ml-model-creation-using-hyperparameter-tuning

mlproject

model-selection-bank-marketing-prediction-

In the Given Repo you can find how to prepare the raw data and how to preprocess it and channelize it throught different model by making predictions on test data and comparing the model which is best suited for moving ahead it also involves the performance evaluation through fine tuning of the results on training data.

multiclass-classification-using-lr-onevsone-onevsrest-classifier-

Multiclass Classification using OneVsOne & OneVsRest Classifier on loan default analysis where aim is to build the "Credit risk estimate model" to classify new loans availed as "Low Risk", "High Risk" and "Medium Risk".