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Name: Rohit Joseph
Type: User
Company: ViktoWayne
Bio: Recent BCA graduate with expertise in Python, MySQL, Linux and data analytics currently pursuing Artificial intelligence and more.
Location: VYTHIRI,WAYANAD,KERALA,INDIA
Rohit Joseph's Projects
calculator-function
calculator using function
database_ploting
mean,median,mode,standerd deviation, variance, percentile, correlation
diabetes-chance-prediction
project is based on likelihood of developing diabetes based on glucose, bmi, insulin, age
ds-methods
Data Structure and methods
ems
Employee management system using array of dictionary in python
ems-json
employee management system using JSON
encrypt-decrypt-task
encrypting and decrypting a file using json librery methods
flask-render_template-
rendering a template using the render_template function provided by Flask's templating module.
from-openpyxl-import-workbook
Openpyxl-Python library allows work with Excel files
heart-attack-risk-prediction
project based on basic multiple linear regression model data should be realtime ,and minimum 15 to 20 patient data should be there find out the normal Troponin , blood pressure,Cholesterol,range
json_file_handling-with-the-scraped-data-
using with a .json file (loading and dumping)
k-fold-cross-validation
K-fold cross-validation divides data into K subsets. It trains the model K times, using K-1 subsets for training and one for validation. This helps assess model performance and prevent overfitting.
linear-multiple-linearregression
Linear regression estimates the relationship between one independent variable and a dependent variable, while multilinear regression extends this to multiple independent variables.
list-comprehension
list comprehension methods , ...etc
matplotlib
data visualizations using matplotlib python library
naive-bayes
Gaussian Naive Bayes is a classification algorithm assuming features are independent and follow a Gaussian distribution. It predicts the class for a given sample by applying Bayes' theorem and selecting the class with the highest probability. Despite its simplicity, it's effective for many classification tasks with continuous features.
numpy-array
creating arrays with NumPy (1D,2D,3D)
pandas-dropna-fillna-dataframe
dropna() and fillna() are methods used to handle missing data in a DataFrame.
price-intelligence-software-pis-
File contains:- webscarping using requests,json,pandas,colorama,json ...etc
pytorch
PYTORCH(tensorflow basics and others)
sample_grocery_json
collecting grocery data through user input and dumping to json file
svm---support-vector-machine
SVM is a versatile algorithm for classification and regression. It finds the best line or plane to separate data points of different classes, making it effective even in high-dimensional spaces.
task-1
Encryption and decryption using with file handling
task-2
string manipulation and file handliing
train-test-split
Train-test split divides data for model training and evaluation, while linear regression predicts continuous outcomes and logistic regression handles binary classification, both leveraging linear relationships between features and targets.
web-scraping
file contains:- webscraping with flask, request & json librery, workbook, iterrows() method, Dataframing,
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