Pinned Repositories
IRIS-FLOWER-CLASSIFICATION-CODSOFT_INTERN
Use the Iris dataset to develop a model that can classify iris flowers into different species based on their sepal and petal measurements. This dataset is widely used for introductory classification tasks.
CREDIT-CARD-FRAUD-DETECTION-CODSOFT_INTERN
Train a classification algorithm, such as logistic regression or random forests, to classify transactions as fraudulent or genuine. Evaluate the model' s performance using metrics like precision, recall, and F1-score, and consider techniques like oversampling or undersampling for improving results.
MOVIE-RATING-PREDICTION-WITH-PYTHON-CODSOFT_INTERN
Movie Rating Prediction project enables you to explore data analysis, preprocessing, feature engineering, and machine learning modeling techniques. It provides insights into the factors that influence movie ratings and allows you to build a model that can estimate the ratings of movies accurately.
SALES-PREDICTION-USING-PYTHON-CODSOFT_INTERN
They utilize machine learning techniques in Python to analyze and interpret data, allowing them to make informed decisions regarding advertising costs. By leveraging these predictions, businesses can optimize their advertising strategies and maximize sales potential.
TITANIC-SURVIVAL-PREDICTION-CODSOFT_INTERN
The dataset typically used for this project contains information about individual passengers, such as their age, gender, ticket class, fare, cabin, and whether or not they survived.
Degin-of-MIMO-antenna
DRIP-IRRIGATION-AND-LEAKAGE-DETECTION-SYSTEM
SARANBE's Repositories
SARANBE/DRIP-IRRIGATION-AND-LEAKAGE-DETECTION-SYSTEM
SARANBE/Degin-of-MIMO-antenna
SARANBE/CREDIT-CARD-FRAUD-DETECTION-CODSOFT_INTERN
Train a classification algorithm, such as logistic regression or random forests, to classify transactions as fraudulent or genuine. Evaluate the model' s performance using metrics like precision, recall, and F1-score, and consider techniques like oversampling or undersampling for improving results.
SARANBE/SALES-PREDICTION-USING-PYTHON-CODSOFT_INTERN
They utilize machine learning techniques in Python to analyze and interpret data, allowing them to make informed decisions regarding advertising costs. By leveraging these predictions, businesses can optimize their advertising strategies and maximize sales potential.
SARANBE/IRIS-FLOWER-CLASSIFICATION-CODSOFT_INTERN
Use the Iris dataset to develop a model that can classify iris flowers into different species based on their sepal and petal measurements. This dataset is widely used for introductory classification tasks.
SARANBE/MOVIE-RATING-PREDICTION-WITH-PYTHON-CODSOFT_INTERN
Movie Rating Prediction project enables you to explore data analysis, preprocessing, feature engineering, and machine learning modeling techniques. It provides insights into the factors that influence movie ratings and allows you to build a model that can estimate the ratings of movies accurately.
SARANBE/TITANIC-SURVIVAL-PREDICTION-CODSOFT_INTERN
The dataset typically used for this project contains information about individual passengers, such as their age, gender, ticket class, fare, cabin, and whether or not they survived.