sahsanjay3455

Certificate_Oasis_infobyte

Deep-Learning

Deep Learning Journey

Disease_Recognization-And-chatBot

dummy-variable-and-One-Hot-Encoder

here by using two method ,dummy variable and One Hot Encoder we use to solve the categorical variable

finding-the-best-model-and-parameter-by-using-GridSearchCV

finding the best model and parameter by using GridSearchCV

Gemini_AI_course

here i am built AI boat as well as image captioning

Gen-AI

heart_disease_prediction_by_using_pca

Home_price_prediction_by_ML

Here all type of problems are solves from numpy and pandas library .

Home_price_prediction_by_ML_01

Here we are solving linear Regression single values

sahsanjay3455/Gemini_AI_course

here i am built AI boat as well as image captioning

sahsanjay3455/Certificate_Oasis_infobyte

sahsanjay3455/Deep-Learning

Deep Learning Journey

sahsanjay3455/Disease_Recognization-And-chatBot

sahsanjay3455/dummy-variable-and-One-Hot-Encoder

here by using two method ,dummy variable and One Hot Encoder we use to solve the categorical variable

sahsanjay3455/finding-the-best-model-and-parameter-by-using-GridSearchCV

finding the best model and parameter by using GridSearchCV

sahsanjay3455/Gen-AI

sahsanjay3455/heart_disease_prediction_by_using_pca

sahsanjay3455/Intership_in_oasis_infobyte

All inteship in oasis infobyte tasks are attached

sahsanjay3455/k_fold_cross_validation

by the help of this algo we can able find best model

sahsanjay3455/k_mean_cluster

here we have data of income and age and doing clustering by k_mean algo

sahsanjay3455/KNN_algo_using-the-iris_data-

sahsanjay3455/L1-and-L2-regularization

sahsanjay3455/LeetCode-150

sahsanjay3455/linear_regression_with_multiple_varible-

Here i am using four variables like independent var. are area, bedrooms, age and dependent is price

sahsanjay3455/lineear_regression_with_multiple_varible

Here i am using four variables like area,bedrooms,age and prices

sahsanjay3455/Movies_Recommendation_System

Here we are finding 5 movies nearby

sahsanjay3455/navie_bayes-email-spam-filter

accuracy usin pipeline in navie bayes model

sahsanjay3455/NLP_project

sahsanjay3455/petal-and-sepal-problem

support vector machine by using python sklearn

sahsanjay3455/predicting-the-buying-of-insurance-according-to-age

predicting the buying of insurance according to age by using binary classification of logistic regression

sahsanjay3455/predicting-the-diabetes-patient-by-using-the-bagging-classifier

predicting the diabetes patient by using the bagging classifier

sahsanjay3455/predicting-the-salary-more-than-100k-in-the-form-of-binary-by-using-decision-tree

predicting the salary more than 100k in the form of binary by using decision tree

sahsanjay3455/predicting-whether-the-emloyee-leave-or-retain

from kaggle question

sahsanjay3455/prediction_of_income_canada_upto_2100

Here i am predicting income of canada upto 2100 year

sahsanjay3455/Random-forest-aglo

sahsanjay3455/sahsanjay3455

sahsanjay3455/Titanic-problem

Here we are finding the survival rate of people by using decision tree model

sahsanjay3455/titanic-problem-using-navie_bayes

sahsanjay3455/train_test_split

here we trainin and testing the model using train test split model from model selection