Pinned Repositories
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.
Disney-Dash
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's Repositories
Meet-Mandaviya/Disney-Dash
Meet-Mandaviya/Meet-Mandaviya
Meet-Mandaviya/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.
Meet-Mandaviya/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.
Meet-Mandaviya/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.
Meet-Mandaviya/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
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.
Meet-Mandaviya/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.
Meet-Mandaviya/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.
Meet-Mandaviya/Udemy_Courses-data-analysis
Initially, I conducted Exploratory Data Analysis (EDA) before delving into the question using this dataset.
Meet-Mandaviya/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.
Meet-Mandaviya/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.
Meet-Mandaviya/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.
Meet-Mandaviya/India_Census_2011-data-analysis
After conducting Exploratory Data Analysis on the India census dataset, I proceeded to respond to the given questions.
Meet-Mandaviya/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.
Meet-Mandaviya/Machine-Learning-Callback
Meet-Mandaviya/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.
Meet-Mandaviya/Machine-Learning-SimpleHousePrice
You'll try to build a neural network that predicts the price of a house according to a simple formula.