Abhishek Saxena (@abhisheksaxena1998)

Top repositories

1

Malicious-Urlv5

A multi-layered and multi-tiered Machine Learning security solution, it supports always on detection system, Django REST framework used, equipped with a web-browser extension that uses a REST API call.
Python
41
star
2

Malicious-Url-Detection-Deep_Learning

Malacious-Url-Detection-Deep_Learning
HTML
7
star
3

Malicious-URL-v5-IBM

Revamped Malicious URL Detector, that increased its accuracy by 25% and has enabled Continuous Delivery and a Toolchain which can be used to automate builds, tests, deployments. Django REST framework is used here that uses a REST API call.
Python
6
star
4

Datascience-Sentimental-Analysis

Datascience Sentimental Analysis
Jupyter Notebook
5
star
5

FluidLedger

The purpose of this project is predict if a donor will repeat a blood donation? This is a module to : https://github.com/abhisheksaxena1998/Emergency-Blood-Plasma-Notification-System
Jupyter Notebook
5
star
6

Open_Source_Lab

C++
4
star
7

Youtube-Content_analysis

Youtube-Content_analysis
HTML
4
star
8

Flask_Web_App

Web application built using flask along with python
HTML
4
star
9

Train-scheduling-in-OS

Trains are scheduled according to priority scheduling and concepts of thread is also implemented here.
C++
4
star
10

Malicious_Url_Detector

Malicious_Url_Detector
Python
4
star
11

hate_speech_threat_detection

hate_speech_threat_detection
Jupyter Notebook
4
star
12

ChromeExtension-Malicious-URL-v5-IBM

Download from Web Application
HTML
4
star
13

homepage-cs50

HTML
4
star
14

TweetCred

Python
4
star
15

Python-CS50

Python
4
star
16

Voice_Assistant

A voice assistant based on python
4
star
17

abhisheksaxena1998

About me
4
star
18

gunv2

Jupyter Notebook
4
star
19

ADR

Autonomous Indoor Drone
Jupyter Notebook
4
star
20

How-world-reacted-to-coronavirus-casestudy

This case-study investigates what was world's reaction on Twitter during covid-19 pandemic. Tweets over a period of 7 months were classified as hate, offensive along with emotions involved.
Python
4
star
21

Frequency-of-Parts-of-Speech-POS-

Python code to determine Frequency of Parts of Speech(POS)
Jupyter Notebook
3
star
22

hello-world

hello-world
3
star
23

malicious-url-detectorv7

malicious-url-detectorv7
3
star
24

Gunlaws_Raw

3
star
25

test

3
star
26

automate_procedures

automate_procedures
HTML
3
star
27

Malicious-url-v9

Malicious-url-v9
Python
3
star
28

deployonheroku

HTML
3
star
29

fraudulent-website-detection

fraudulent-website-detection
3
star
30

scipy

scipy
Jupyter Notebook
3
star
31

hackathon_25

3
star
32

Tweet_analysis_NLP

Jupyter Notebook
3
star
33

rainstats

3
star
34

legion

HTML
3
star
35

mal-urlv11

mal-urlv11
CSS
3
star
36

url-web-genre

Determine url-web-genre using machine learning
Jupyter Notebook
3
star
37

sm

Python
3
star
38

gvv4

Jupyter Notebook
3
star
39

ner-dataset

3
star
40

malicious-url-detectorv19

malicious-url-detectorv19
CSS
3
star
41

Malicious-Urlv2

Malicious-Urlv2
HTML
3
star
42

flair

HTML
3
star
43

Cosine-Similiarity

Jupyter Notebook
3
star
44

class_work

Jupyter Notebook
3
star
45

reddit_flair_predictor

HTML
3
star
46

tes

3
star
47

Extension-Malicious-Url-Detector

Extension-Malicious-Url-Detector
HTML
3
star
48

alpha-url-heath

alpha-url-heath
Python
3
star
49

Gunlaws-Stance-Detector

Gunlaws-Stance-Detector
Jupyter Notebook
3
star
50

MUD-IBM1

MUD-IBM1
Python
3
star
51

Object-Detection

Object-Detection
3
star
52

Gunlaws_Stance_detector

Gunlaws_Stance_detector
Jupyter Notebook
3
star
53

project-covid19

project-covid19
Jupyter Notebook
3
star
54

WP-Phishing

WP Phishing
Jupyter Notebook
3
star
55

How-world-reacted-to-Coronavirus

How world reacted to Coronavirus
Jupyter Notebook
3
star
56

web_app_ml

3
star
57

rfd9

HTML
3
star
58

packages

Jupyter Notebook
3
star
59

Classify_Edible_and_Poisonous_Mushrooms_based_on_Mushrooms.csv-dataset

Classify_Edible_and_Poisonous_Mushrooms_based_on_Mushrooms.csv dataset
Jupyter Notebook
3
star
60

Pos_On_Tweets

Makes a csv file for storing various pos
Jupyter Notebook
3
star
61

Applied-Plotting-Charting-Data-Representation-in-Python

Python
3
star
62

Data

3
star
63

Applied_ML

Jupyter Notebook
3
star
64

redditflairdetectorfinal

Jupyter Notebook
3
star
65

Voice-Assistant-Windows-application-

Voice Assistant (Windows Application)
Python
3
star
66

images

3
star
67

detector-redditv6

3
star
68

Assignment

MOVIE TICKET BOOKING SYSTEM USING REST APIs
JavaScript
3
star
69

detector-reddit

HTML
3
star
70

Emergency-Blood-Plasma-Notification-System

Emergency Blood/Plasma Notification System: A Browser extension of Plasma/Blood Bank management system that notifies if there are any acceptors and donors in the vicinity of the user (donor and acceptor) with measured accuracy.
JavaScript
3
star
71

gunv3

Jupyter Notebook
3
star
72

Dataset-and-training-testing-Malicious-URL-v5-IBM

Dataset-and-training-testing-Malicious-URL-v5-IBM
Jupyter Notebook
3
star
73

python-pandas-selection-and-indexing

python pandas selection and indexing
3
star
74

Minor-Project-1

Minor Project 1
Jupyter Notebook
3
star
75

cloud_csv

cloud_csv
3
star
76

Android-Application-Malicious-URL-Detector

Android-Application-Malicous-URL-Detector
Java
3
star
77

Youtube_NLP_Analysis

Youtube_NLP_Analysis
Jupyter Notebook
3
star
78

pkl

3
star
79

Reddit-Flair-Detector

Detects reddit flair (catergory) for given reddit url.
Jupyter Notebook
3
star
80

Live-Malicious-URL-Data-Analysis

Live Malicious-URL-Data-Analysis
Jupyter Notebook
3
star
81

malicious-url-detection-module1

malicious-url-detection-module1
Python
3
star
82

Becoming-an-Independent-Data-Scientist

Dependence of rainfall and minimum and maximum temperatures in Ann Arbor, Michigan, United States
Jupyter Notebook
3
star
83

Deep-Learning-Image-Classification

Deep Learning Classifier to classify various species of Monkeys. ResNet architecture is used here as it tackles the degradation problem most common in deep networks, where the model accuracy gets saturated and then degrades rapidly.
Jupyter Notebook
3
star
84

Gunlaws-Stance-Detectorv1

The detailed design for analyzing public opinion using Data Science uses Machine Learning, Data Collection and Cleaning, Topic Modelling, Summarizing and Visualizing data along with Temporal Analysis.
Jupyter Notebook
3
star
85

detector--redditv7

HTML
3
star
86

detector-redditv3

HTML
3
star
87

Sentiment-and-Stance-analysis-in-twitter-and-temporal-analysis

Detection of Sentiment ,Stance and their analysis on dyanamic twitter data
Jupyter Notebook
3
star
88

Emotion-detection-from-video

Emotion detection from video using Image Processing
Jupyter Notebook
3
star
89

advanced-malicious-url-detection

advanced-malicious-url-detection
Python
3
star
90

application

application
JavaScript
2
star
91

A.I.-NotesMaker

A.I. NotesMaker
HTML
2
star
92

glaws

Jupyter Notebook
2
star
93

amazon-live-analysis

amazon-live-analysis
HTML
2
star
94

legion-react

legion react
2
star
95

reactToDoApplication

A To-Do Application in React
JavaScript
1
star
96

reactFrontend

reactFrontend
JavaScript
1
star
97

abhisheksaxena1998.github.io

JavaScript
1
star
98

SMS-Analyser

A mobile app which can automatically scan through SMS texts and detect possible fraud and phishing attacks and suggest the user not to click on such a link
Java
1
star