cat_vs_dog_classification

The Cat vs. Dog classification deep learning project aims to develop an intelligent algorithm capable of distinguishing between images of cats and dogs. Utilizing state-of-the-art deep learning techniques, this project leverages Convolutional Neural Networks (CNNs) to extract intricate features from the input images.

data_analysis

deep_learning_task

doppelganger_of_bollywood_celebrity

This project is aimed at developing a deep learning system that can detect and recognize people who look identical to Bollywood actors. It will use facial features as the basis of comparison for detecting similar features between two people. This system could be used in various applications such as security systems, entertainment platforms, etc.

email_spam_classifier

A Machine Learning Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like MultinomialNB, LogisticRegression, SVC, DecisionTreeClassifier, RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, XGBClassifier to compare accuracy an

excel_data_analysis_sales

fashion_reverse_image_search

The deep learning fashion recommendation project is designed to provide users with an enhanced fashion shopping experience. By using deep learning techniques, this project aims to recommend similar fashion items to the input image provided by the user.

machine_learning_task

machine_learning_with_python

natural_language_processsing

Assessment

pandas_task

plotting_matplotlib_and_seaborn

Assessment

python_modules

python_task

sql_task

statistics

tableau_project

As a data analyst with Tableau expertise, I have created a comprehensive project on the global spread of COVID-19. Utilizing various sources of data, I have created interactive dashboards and visualizations to track the progression of the pandemic.

vasupatelll