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Machine learning project

Data visualization and Accuracy metrics

Load a dataset, preprocces on the data, visualizing data and use the data on three model and calculate the accuracy using

  • sklearn.linear_model import LogisticRegression

  • sklearn.neighbors import KNeighborsClassifier

  • sklearn.svm import SVC

  • sklearn.model_selection import StratifiedKFold

  • sklearn.metrics import classification_report

  • sklearn.metrics import accuracy_score

Basic of Open-CV

Capture a video using open-cv, loading the picture, make changes on the picture using

  • open-cv library

Hand pose 3d

Detects hands movement using

  • media pipe and open-cv

Breast cancer using SVM

Detects breast cancer using

  • Sklearn.SVM svc module

Customer segmentation using PCA

Segments customer based on their similar products.

  • Cross tab matrix (user, products)

  • Reducing Crosstab using PCA

  • Finding clusters bettween Principle components

  • Clustering those principle components using Kmeans Algortihm

check for Kmeans Algorithm here.

check my notes for PCA here.

Digit recognition using PyTorch

Kaggle competition, which recognize digits using CNN architecture.

  • PyTorch

  • CNN architecture

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