cars-data-analysis

Having multiple attributes like Make, Model, Type, Origin, MRP, Engine Size, and Mileage, the cars dataset formed the basis of my approach. I initiated the process with basic analysis and later utilized various operations to solve the questions posed in the dataset.

covid_19-data-analysis

The Covid_19 dataset contains information on regions, confirmed cases, deaths, and recovered cases. After conducting preliminary data analysis (EDA), I proceeded to address the questions.

disneylandreviews-sentiment-analysisnlp

Performing NLP sentiment analysis on Disneyland reviews, uncovering emotions and opinions from visitors. Gaining insights into overall satisfaction and areas for improvement in the park experience.

hotelreview-sentimentanalysis

A powerful NLP model to classify sentiments in hotel reviews. Accurate, user-friendly, and ready-to-use for analyzing customer feedback and improving hospitality services.

india_census_2011-data-analysis

After conducting Exploratory Data Analysis on the India census dataset, I proceeded to respond to the given questions.

london_housing-data-analysis

Having received the London Housing dataset, I initiated the process by performing initial analysis and subsequently employed different techniques to address the questions given in the dataset.

machine-learning-callback

machine-learning-computer-vision

Let's take a look at a scenario where we can recognize different items of clothing, trained from a dataset containing 10 different types.

machine-learning-simplehouseprice

You'll try to build a neural network that predicts the price of a house according to a simple formula.

meet-mandaviya

movie-review-data-nlp

I've done sentiment analysis on IMDB movie reviews, distinguishing positive and negative opinions. Unveiling insights into audience perceptions, helping comprehend movie reception and feedback.

netflix-data-analysis

A multitude of questions are provided; at first, I conducted preliminary data analysis using basic functions, and later, I tackled all the questions.

number-recognition-cnn

Digit recognition dataset for CNN. Contains handwritten numbers. Employed with a Sequential ML model, achieving accurate classification of digits through deep learning techniques.

titanic-classification

Titanic dataset for survival prediction. Analyzed with various ML models. Unveils passenger survival patterns through distinct algorithms, providing insights into the disaster's impact on different groups.

udemy_courses-data-analysis

Initially, I conducted Exploratory Data Analysis (EDA) before delving into the question using this dataset.

weather-data-analysis

The weather dataset was given, and my approach involved starting with basic analysis before applying various operations to solve the questions posed in the dataset.

zomato-dataset-eda

Explore the Zomato dataset through insightful EDA analysis. Uncover restaurant trends, cuisines, ratings, and customer preferences. Discover hidden patterns and make data-driven decisions in the food industry. Gain valuable insights into dining habits and more