tiwnilesh022

-KNN--k-nearest-neighbor-Digit-Recognition-

read or load an image using scikit-image (or any other package for that matter), we see that the image is stored in the form of numbers. These numbers are called pixel values and they represent the intensity of each pixel in the image.

-MLR-multipal-linear-regression-50-Startups-

Mutiple linear regression is linear and continuous regression model. When the no. of attributes are more than 1 and finds relationship between several independent variables and a dependent variable. there are some visulization with the help of matplotlib and seaborn like correlation metrics and feature dependencies

Face_Recognitation

Python API development for Face Recognition usig CNN and OPENCV(Cv2)

k-nearest-neighbor

K nearest neighbors is a simple algorithm that stores all available cases and classifies new cases based on a similarity measure (e.g., distance functions). KNN has been used in statistical estimation and pattern recognition

Open-contributions

This Repository is for Learning purpose, and open contributions under DevIncept program.

Polynomial-linear-regression-Positional-Salary-

Polynomial Linear Regression is non-linear and continuous regression model. in the above nootbook we have done experimentation with the degree of regression model up to degree 5 . And visulization of every model for the better understanding of the fitted data and there prediction. here uhcan see the visulization of polyLR of degree up to 5.

Sentiment-Analysis_IMDB

SLR-simple-liner-regression-

Finding the best fit line for the model to pred the target .And visulization of traning data and the testing data along with the visulization of best fit line with the help of matplotlib .

Speech-Emotion-analysis-tess-and-ravdess-data-set

emotion analysis

Speech-To-Text-conversion

Speech recognition is the ability of a computer software to identify words and phrases in spoken language and convert them to human readable text.

tiwnilesh022/-KNN--k-nearest-neighbor-Digit-Recognition-

read or load an image using scikit-image (or any other package for that matter), we see that the image is stored in the form of numbers. These numbers are called pixel values and they represent the intensity of each pixel in the image.

tiwnilesh022/-MLR-multipal-linear-regression-50-Startups-

Mutiple linear regression is linear and continuous regression model. When the no. of attributes are more than 1 and finds relationship between several independent variables and a dependent variable. there are some visulization with the help of matplotlib and seaborn like correlation metrics and feature dependencies

tiwnilesh022/k-nearest-neighbor

K nearest neighbors is a simple algorithm that stores all available cases and classifies new cases based on a similarity measure (e.g., distance functions). KNN has been used in statistical estimation and pattern recognition

tiwnilesh022/Polynomial-linear-regression-Positional-Salary-

Polynomial Linear Regression is non-linear and continuous regression model. in the above nootbook we have done experimentation with the degree of regression model up to degree 5 . And visulization of every model for the better understanding of the fitted data and there prediction. here uhcan see the visulization of polyLR of degree up to 5.

tiwnilesh022/SLR-simple-liner-regression-

Finding the best fit line for the model to pred the target .And visulization of traning data and the testing data along with the visulization of best fit line with the help of matplotlib .

tiwnilesh022/Speech-Emotion-analysis-tess-and-ravdess-data-set

emotion analysis

tiwnilesh022/Speech-To-Text-conversion

Speech recognition is the ability of a computer software to identify words and phrases in spoken language and convert them to human readable text.

tiwnilesh022/Face_Recognitation

Python API development for Face Recognition usig CNN and OPENCV(Cv2)

tiwnilesh022/Open-contributions

This Repository is for Learning purpose, and open contributions under DevIncept program.

tiwnilesh022/Sentiment-Analysis_IMDB

tiwnilesh022/Survival-Prediction-of-Patients-with-Heart-Disease-using-Machine-Learning-Techniques

tiwnilesh022/tiwnilesh022

tiwnilesh022/AI

GLCM

tiwnilesh022/Distracted-Driver-Detection

tiwnilesh022/flask_2

tiwnilesh022/glcm

tiwnilesh022/glcmdemo

tiwnilesh022/Heart-Failure-Prediction

Create a model to assess the likelihood of a death by heart failure event. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases.

tiwnilesh022/Human-Activity-Recognition

tiwnilesh022/linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test

tiwnilesh022/public-project

public project

tiwnilesh022/the-spark-foundation-task

tiwnilesh022/The-Sparks-Foundation