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Raj067/README.md

Hi there ๐Ÿ‘‹

Raj067's GitHub trophy

Rongronggg9's GitHub Stats

  • ๐Ÿ”ญ Iโ€™m currently working on Applicant Tracking system
  • ๐ŸŒฑ Iโ€™m currently learning Deep Learning Algorithms
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on Artificial Intelligence Projects
  • ๐Ÿ’ฌ Ask me about problem solving ideas
  • ๐Ÿ“ซ How to reach me: rajabumrisho69@gmail.com
  • ๐Ÿ˜„ Religion: Muslim, Assalafy

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  1. Home.jsx Home.jsx
    1
    import React, { Component } from "react";
    2
    import instance from "../axiosInstanceReact";
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    class Home extends Component {
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      constructor(props) {
  2. Nearest-Centroid-Classifier.py Nearest-Centroid-Classifier.py
    1
    from sklearn.neighbors.nearest_centroid import NearestCentroid
    2
    import numpy as np
    3
    X = np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]])
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    y = np.array([1, 1, 1, 2, 2, 2])
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    clf = NearestCentroid()
  3. kmeans-2021 kmeans-2021 Public

    Jupyter Notebook

  4. ehospital ehospital Public

    HTML

  5. time-since.py time-since.py
    1
    import time
    2
    import math
    3
    
                  
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    def time_since(val: str) -> str:
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        '''Returning since time'''
  6. DBSCAN-clustering-algorithm.py DBSCAN-clustering-algorithm.py
    1
    import numpy as np
    2
    from sklearn.cluster import DBSCAN
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    from sklearn import metrics
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    from sklearn.datasets.samples_generator import make_blobs
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    from sklearn.preprocessing import StandardScaler