Vandana123456gouda

indian-flag

Python-code-to-reading-an-image-using-OpenCV-

facedetection

Birthday-date

Easily remembering birthday date using python

Tic-tok-game-using-python

Wisconsin-breast-cancer-diagnostic-data-set-for-predictive-analysis

Using the Wisconsin breast cancer diagnostic data set for predictive analysis Attribute Information:  1) ID number  2) Diagnosis (M = malignant, B = benign) -3-32.Ten real-valued features are computed for each cell nucleus:  a) radius (mean of distances from center to points on the perimeter)  b) texture (standard deviation of gray-scale values)  c) perimeter  d) area  e) smoothness (local variation in radius lengths)  f) compactness (perimeter^2 / area - 1.0)  g). concavity (severity of concave portions of the contour)  h). concave points (number of concave portions of the contour)  i). symmetry  j). fractal dimension ("coastline approximation" - 1) The mean, standard error and "worst" or largest (mean of the three largest values) of these features were computed for each image, resulting in 30 features. For instance, field 3 is Mean Radius, field 13 is Radius SE, field 23 is Worst Radius. So the analysis and prediction will be based on Pyspark and matplotlib and seaborn you can use 1) Load Libraries 2) Load the data using pyspark only 3) Clean and prepare data 4) Explore data: in this find out different visulization using seaborn and matplotlib to explore more and understand correlation for furthure analysis like 5) Creating a test set and a training set 6) Logistic Regression model for prediction (mlib)

analyzing-weather-dataset

Analyzing weather dataset using Numpy & Pandas

client-server-model-using-computer-graphics

Color_game

employee_leave_managmnt_system

Vandana123456gouda/hello

Vandana123456gouda/indian-flag

Vandana123456gouda/Tourist-Management-System

Web Project

Vandana123456gouda/Wisconsin-breast-cancer-diagnostic-data-set-for-predictive-analysis

Using the Wisconsin breast cancer diagnostic data set for predictive analysis Attribute Information:  1) ID number  2) Diagnosis (M = malignant, B = benign) -3-32.Ten real-valued features are computed for each cell nucleus:  a) radius (mean of distances from center to points on the perimeter)  b) texture (standard deviation of gray-scale values)  c) perimeter  d) area  e) smoothness (local variation in radius lengths)  f) compactness (perimeter^2 / area - 1.0)  g). concavity (severity of concave portions of the contour)  h). concave points (number of concave portions of the contour)  i). symmetry  j). fractal dimension ("coastline approximation" - 1) The mean, standard error and "worst" or largest (mean of the three largest values) of these features were computed for each image, resulting in 30 features. For instance, field 3 is Mean Radius, field 13 is Radius SE, field 23 is Worst Radius. So the analysis and prediction will be based on Pyspark and matplotlib and seaborn you can use 1) Load Libraries 2) Load the data using pyspark only 3) Clean and prepare data 4) Explore data: in this find out different visulization using seaborn and matplotlib to explore more and understand correlation for furthure analysis like 5) Creating a test set and a training set 6) Logistic Regression model for prediction (mlib)

Vandana123456gouda/smart_dust_bin

Using Arduino and ultrasonic sensor build smart dustbin

Vandana123456gouda/Birthday-date

Easily remembering birthday date using python

Vandana123456gouda/Tic-tok-game-using-python

Vandana123456gouda/Api

Vandana123456gouda/matillion_training

matillion_training

Vandana123456gouda/Neural-network

Vandana123456gouda/Heart-desease-prediction-using-ml

Vandana123456gouda/client-server-model-using-computer-graphics

Vandana123456gouda/employee_leave_managmnt_system

Vandana123456gouda/Color_game

Vandana123456gouda/random_passwrd_generator

By using java_eclipse

Vandana123456gouda/CONVERT-black-white-image

Vandana123456gouda/facedetection

Vandana123456gouda/tkinter-msg-box

Vandana123456gouda/Mouse-function-tkinter

Vandana123456gouda/Python-code-to-reading-an-image-using-OpenCV-

Vandana123456gouda/Image-dimension-using-opencv

Vandana123456gouda/web-scraping-using-RE

Vandana123456gouda/Tkinter-calculator

Vandana123456gouda/face-recognition

Vandana123456gouda/analyzing-weather-dataset

Analyzing weather dataset using Numpy & Pandas

Vandana123456gouda/greyatom-python-for-data-science

A collection of projects as part of the Python for Data Science program at GreyAtom EduTech Pvt Ltd