Anjali Saini's Projects
This project is a simple regression machine learning model to convert temperatures from celsius to fahtenheit using tensorflow
In this project, we create an artificial neural network which classifies whether the female patient has diabetes or not
Python API development for Face Recognition usig CNN and OPENCV(Cv2) Recognize and manipulate faces from Python or from the command line with the world’s simplest face recognition library. Built using dlib’s state-of-the-art face recognition
In this project we use convolution neural network to predict fashion classes from the fashion mnist dataset
Feature Scaling is a technique to standardize the independent features present in the data in a fixed range. It is performed during the data pre-processing.
Feature Selection is the process where you automatically or manually select those features which contribute most to your prediction variable or output in which you are interested in.
K-nearest neighbors (KNN) algorithm is a type of supervised ML algorithm which can be used for both classification as well as regression predictive problems. K-nearest neighbors (KNN) algorithm uses ‘feature similarity’ to predict the values of new datapoints which further means that the new data point will be assigned a value based on how closely it matches the points in the training set.
MLR is a statistical technique that uses several explanatory variables to predict the outcome of a response variable. The goal of multiple linear regression (MLR) is to model the linear relationship between the explanatory (independent) variables and response (dependent) variable.
This Repository is for Learning purpose, and open contributions under DevIncept program.
polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modelled as an nth degree polynomial in x.
A machine learning model which predicts the salary of the employee according to the years of experience in the office and does some visualization like testing/training data visualization , accuracy visualization and best fit line.
It is a program to identify words and phrases in spoken language and convert them to a machine readable or text format.
In this project, we use the heart failure clinical records uci dataset to predict whether the patient will survive or not
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent