prashantyadav08's repositories

AmazingEDA

How to quickly get a handle on almost any tabular dataset.

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AmazingPythonFeatures

Cool Python features for machine learning.

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CodingExecise-Python

My implementation of useful data structures & algorithms.

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DataPreparationAndFeatureEngineering

This repository contains "Data preparations" & "Feature engineering" techniques.

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EDA-HealthInsuranceData

"Exploratory Data Analysis" on a health insurance data.

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LinearAlgebraForMachineLearning

Basics of Linear Algebra.

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Time-SeriesForecasting

Here, I have tried to explain & interpret terminologies relate to "Time-Series" forecasting

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CricketAnalysisWorkshop

Workshop I practised on Cricket Analysis offered by "Mad About Sports"

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DeepLearning

In this repository I have tried to implement the basic techniques, recipes and skills to train deep "neural networks".

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DuplicateQuestions

Case study: Identify duplicate questions.

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ImbalancedClassification

In this repository I have tried to implement techniques & terminologies for imbalanced classification.

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import_pandas_as_pd

Just "pandas" things.

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LSTMs

Common "Architectures" of Sequence prediction models

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MachineLearning-InterviewQuestions

A repository to prepare for machine learning interview, involving most of the questions asked.

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MachineLearningAlgorithms-Fundamentals

In this repository I have tried to implement step by step procedure to "Spot-Check" Machine Learning algorithms.

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MachineLearningStatistics

Statistics for Machine Learning:

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ML-AlgorithmsMaths

"Mathematics" behind the Machine Learning "Algorithms"

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NumPy-Exercise

A collection of Numpy exercises.

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PatientSurvival-Prediction

Case study: Predicting the survival of patients.

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Probability

This repository contains Probability concepts for applied Machine Learning.

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RecognisingDefaulters

Case study: Help Micro Financing Institutions and other Lending companies to reduce Credit risks by recognizing potential Defaulters.

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SensorAnalysis

Case Study: Telematic Exploratory Data Analysis.

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SQL-Exercise

Fundamental commands for extracting data via SQL.

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UnsupervisedLearning

In his repository I have tried to apply "Unsupervised Learning" techniques & fundamentals.

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