Mohamadhasan Sarvandani's Projects
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Python functions to preprocess and correlate ambient-noise data and extract phase-velocity curves
Make a beautiful and awesome Github profile by badges, icons, emojis and widgets! This repository aims to enhance the beauty and professionalism of your GitHub profile. By codes, links and simple examples provided in this repository, you can easily elevate the beauty of your Github Profile.
This is professional calculator which has been written in JavaScript and HTML.
changing header of SAC files
classification of image data with pre-trained model
Computer vision / emotion recognition
Opencv, cv2
Image segmentation with pre-trained models of DeepLabV3 and Mask R-CNN
Object detection in images with pre-trained model
Object tracking by Computer Vision
computer vision, OpenCv, pose estimation
Important logos of Data science
Keras, Tensorflow, CNN(convolutional neural network),
GMT_SIMPLE_MAP_GEOSCIENCE
merging many signals of SAC files from different recorded times
Kafka code example
sklearn, xgboost, decision tree, random forest, logistic regression
Pyspark, PCA
sklearn, xgboost
sklearn, tensorflow, random-forest, adaboost, decision-tress, polynomial-regression, g-boost, knn, extratrees, svr, ridge, bayesian-ridge
Sklearn, PCA, t-SNE, Isomap, NMF, Random Projection, Spectral Embedding
Sklearn, K-means Clustering, Hierarchical Clustering, DBSCAN, Mean Shift Clustering, Gaussian Mixture Models (GMM), Spectral Clustering, Affinity Propagation, OPTICS (Ordering Points to Identify the Clustering Structure), Birch (Balanced Iterative Reducing and Clustering using Hierarchies), marketing_campaign
Mlxtend, Association_rules, Apriori, FP Growth
sklearn, kmeans-clustering, hierarchical-clustering, dbscan-clustering
Sklearn, logistic regression, Naive Bayes classifier, K-Nearest Neighbors, decision trees