12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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Updated
Aug 17, 2024 - HTML
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Compilation of R and Python programming codes on the Data Professor YouTube channel.
The practitioner's forecasting library
🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)
Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
A fast, robust library to check for offensive language in strings, dropdown replacement of "profanity-check".
In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised lea…
🔉 👦 👧 👩 👨 Speaker identification using voice MFCCs and GMM
Recognition of the images with artificial intelligence includes train and tests based on Python.
Efficient sparse matrix implementation for various "Principal Component Analysis"
Machine learning is the sub-field of Computer Science, that gives Computers the ability to learn without being explicitly programmed (Arthur samuel, American pioneer in the field of Computer gaming and AI , coined the term Machine Learning in 1959, while at IBM )
Classification of MXenes into metals and non-metals based on physical properties
A Course from kaggle solved Exercises
Unsupervised and supervised learning for satellite image classification
DMLLTDetectorPulseDiscriminator - A supervised machine learning approach for shape-sensitive detector pulse discrimination in lifetime spectroscopy applications
👨💻 Developed AI Models - Ensemble of Random Forest & SVM and XGBoost classifiers to classify five types of Arrhythmic Heartbeats from ECG signals - published by IEEE.
This folder contains the basic algorithms of ML implemented with Python.
This consists of various machine learning algorithms like Linear regression, logistic regression, SVM, Decision tree, kNN etc. This will provide you basic knowledge of Machine learning algorithms using python. You'll learn PyTorch, pandas, numpy, matplotlib, seaborn, and various libraries.
Codes for "Parkinson’s Disease Diagnosis: Effect of Autoencoders to Extract Features from Vocal Characteristics"
predicting whether you read mail
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