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Name: Ishan Kumar Anand
Type: User
Bio: AI Engineer
Name: Ishan Kumar Anand
Type: User
Bio: AI Engineer
Using the Artificial Neural Network I have predicted whether the bank employee will leave the service or not and achieved an Accuracy Score of 92%. I have also implemented the data handling process like, Under sampling, Over Sampling and Ensemble method to increase the precision and recall of the model and check there variation.
This Project helps in Detecting the Tumour in Brain which is deloyed on Heroku
This Repository is an application of LSTM Model using which I have predicted the number of person infected so far due to the COVID-19 in India. This dataset consist of about 397 sequential data of number of infected person in India due to COVID.
The basic goal of this project is to detect whether a person is wearing a Face mask or not. The principle behind the python code is that if we detect the face of a person and the coordinates of its nose. If we are able to detect the coordinates of the Nose which means that either the person is not wearing a Face mask or the person is Face Mask improperly and if we are not able to detect the coordinates of a Nose which seems to be the Nose is covered hence the person has worn Face mask.
DSA Coding Practice and Solved Questions
This project is all about Face Recognition of specific people. It can categorise different people and can segregate them. I have used LBPH Algorithm to train the Model, which takes 50,000 images for training, which then results in proper identification of exact faces when presented with sample images.
This repository is an implementation of Image Classification using Transfer Learning. I have used InceptionV3 pretrained model and modified the the outut layers to 6. In this example I have classified images of Elon Musk, Narendra Modi, Bill Gates, Jack Maa and Donald Trump. It also contains a negative image class to balance the images of Person other than all these and as well as to increase the accuracy of the model.
This project is about Simple Facial Detection Using OpenCV. In this project, I have applied various techniques to mold an image, and using Haarcascade Classifier.xml file I have inherited the properties of Faces using which I could successfully recognize the face enclosed in a rectangle.
This Repository contains a Tensorflow deployment of Handwritten Digit classification. I have trained the model on Mnist Handwritten dataset. To use the image in tensorflow_Js the image is converted to Sprite SHeet
This dataset is used to build a network intrusion detector, a predictive model capable of distinguishing between ``bad'' connections, called intrusions or attacks, and ``good'' normal connections. This database contains a standard set of data to be audited, which includes a wide variety of intrusions simulated in a military network environment.
Here in this Project we get to know the Defaulter who is about to pay the Loan .
The Motion Detector Project helps in detection of the movement occurring in the webcam. I have completed this project using openCV library. I have captured the first frame and the forth coming frame and found the absolute difference of it, by which we can know that there is a movement if there is change in frames.
The model which i have build helps us in classifying different Natural Scenery images like Street, Mountain, Glacier etc. I have used Convolutional Neural Network to build this model and classify the images.
Repository to store sample python programs for python learning
This Repository contains a Spam Detector Model based of Text. I have created this Project using TensorFlow framework, and it is an application of Natural Language Processing.
This Repository contains an application of Time Series Analysis. The dataset contains each day weather in Fahrenheit from 1991 till 2020 of Mumbai City.
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