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advanced_regression

algorithms-pack

artificial_neural_network

Artificial neural networks are used in sequence and pattern recognition systems, data processing, robotics, modeling, etc. ANN acquires knowledge from their surroundings by adapting to internal and external parameters and they solve complex problems which are difficult to manage.

automated_libraries

In this repository I will be adding all the automated libraries with respect to data science.

classifier_mlops

cotton_leaf_disease_classification_deep-learning

covid-prediction-using-chest-x-ray

data_augumentation

diabetes_prediction_end_to_end

django-mongodb-crud

farmapp

https://farmapp-chand.herokuapp.com/home

fashion-app

fbprophet

Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well. Prophet is open source software released by Facebook’s Core Data Science team.

feature_engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

feature_selection

Feature Selection is the process where you automatically or manually select those features which contribute most to your prediction variable or output in which you are interested in. Having irrelevant features in your data can decrease the accuracy of the models and make your model learn based on irrelevant features.

handling_imbalanced_dataset

Imbalanced data sets are a special case for classification problem where the class distribution is not uniform among the classes. Typically, they are composed by two classes: The majority (negative) class and the minority (positive) class.

healthapp

A Machine Learning and Deep Learning based application for disease detection.

heart_disease_prediction-end_to_end

heroku_deployment

Heroku is a container-based cloud Platform as a Service (PaaS). Developers use Heroku to deploy, manage, and scale modern apps. Our platform is elegant, flexible, and easy to use, offering developers the simplest path to getting their apps to market.

hyperparameter_tuning_techniques

Hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. Hyperparameters are crucial as they control the overall behavior of a machine learning model. The ultimate goal is to find an optimal combination of hyperparameters that minimizes a predefined loss function to give better results.

ipl_score_prediction

loan-prediction

machine-learning

In this repository I have done the implementation of all the machine learning concepts.

machine_learning_projects

This repository consist of machine learning projects.

malaria_disease_prediction_deep-learning

natural_language_processing

Natural language processing involves the reading and understanding of spoken or written language through the medium of a computer. This includes, for example, the automatic translation of one language into another, but also spoken word recognition, or the automatic answering of questions.

pencil-sketching-using-python

pnuemonia_disease_prediction_deep-learning

rasa-nlu

social_media_analysis