Topic: googlecollab Goto Github
Some thing interesting about googlecollab
Some thing interesting about googlecollab
googlecollab,This repository contains the code for building movie recommendation engine.
User: aman20174151
googlecollab,The Whisper Hindi ASR (Automatic Speech Recognition) model utilizes the KathBath dataset, a comprehensive collection of speech samples in Hindi. Trained on this dataset, Whisper employs advanced deep learning techniques to accurately transcribe spoken Hindi into text.
User: ayushverma135
googlecollab,Labs, control works and other materials that were created during university studies
User: bazalii
googlecollab,This project was utilizing Amazons RDS and uploading that data into PostgreSQL to query data either in SQL or in Jupyter Notebooks: Google Collaboratory. With this specific dataset we are going to determine if there was a bias with Amazon review on Sports Items for the Vine Program.
User: bsamimi25
googlecollab,Analysis of Financial Inclusion in Kenya, Rwanda, Tanzania and Uganda
User: cnyakundi
googlecollab,A web scraper using Python and Beautiful Soap for review extraction from IMDb.
User: gyan7054
googlecollab,This system can be used in any ordering place, as it uses Queue data structure which follows FIFO sequence with enquing and dequing as main functions.
User: haseeeb21
googlecollab,Built and evaluated machine learning model to solve stroke problem using Stroke dataset.
User: hellythakar
googlecollab,In this project a convolutional neural network (CNN) is trained to learn the behavior of a car using data from a simulator that allows real-time information gathering from the car’s chassis, position and its speed. As a first step the vehicle is driven in a manual mode of simulation for collecting data. Then the neural network uses information from the front-facing, left and right cameras, the car’s position on the lane and its speed to learn the internal representations of the necessary processing steps, such as the detection of road lanes, required speed, and track position. Then the simulation is done in autonomous mode, applying the trained weights of neural network which predicts the steering angle for the car in autonomous mode.
User: iamniki01
googlecollab,Classification of Spam SMS/ Emails based on Naïve Bayes Classifier
User: jannat0718
googlecollab,Through machine learning, we can predict the stock projections for the selected companies
User: jordanjaner
googlecollab,An exploratory data analysis (EDA) on IPL dataset.
User: kkamal11
googlecollab,:bar_chart: Using machine learning to train a model using soft max regression based on real twitter datasets to classify vaccine sentiments to Pro-vax, Anti-vax and Neutral.
User: ltvaios
googlecollab,Google Collab for Testing AnythingV3.0 Diffusion Model
User: mahdeensky
googlecollab,LexAIcon: Traduce, resume y explica tus textos legales.
User: manuelcozar55
googlecollab,In this repository, Google Collab is paired with SparkSQL to determine key metrics about home sales data. Spark is also used to create temporary views, partition data, and cache/unchache a temporary table in the process.
User: margaretkhendre
googlecollab,The project investigates the effectiveness of different machine learning models in predicting sales. XGBoost Regression with tuned hyperparameters achieved the best performance among the tested models based on the Mean Squared Error metric.
User: memidhun
googlecollab,Deep Learning Model that classifies brain tumor from images
User: namanbansalcodes
googlecollab,Classifying the following 5 types of flowers: Rose, Daisy, Dandelion, Sunflower and Tulip
User: ndvinh98
googlecollab,Based on Image Classification, this is a machine model for classifying cats and dogs. The model was created using Google Collab and has an accuracy of 85%. The model is in the "saved models" folder, and the notebook is in the "training notebooks" folder.
User: philipnirushan
googlecollab,Kumpulan Dasar Pemrograman Python Studi Independen.
User: riskydavid25
googlecollab,The IPL EDA (Exploratory Data Analysis) was conducted, revealing valuable insights. The analysis focused on various aspects such as player performance, team statistics, and match outcomes. Key findings include trends in run-scoring, top performers, and team dynamics. The EDA offers actionable insights for teams and fans to make data-driven decision
User: shivanidashore777
Home Page: https://eda-ipl.streamlit.app/
googlecollab,Automated Burgerking sales data generator in Python. Visualizes sales, ingredient consumption, and KPIs with interactive Plotly charts. Simulates one-year dataset for analysis.
User: suraj5424
googlecollab,The project or work which goals to extract the opinions, emotions, attitudes of public towards different object of interest. Sentiment analysis is a form of shallow semantic analysis of texts. In the project an automatic approach that involves supervised machine learning and text mining classification algorithms are used which includes the sentimental analysis in various applications. Various fields like twitter tweets, movie review tweets, election result tweets, digital libraries, life sciences, social media tweets and various other fields have been analyzed and the algorithms like line regression, Support vector machine (SVM), Naïve bayes are used in every content and a result is brought out through the means of various types of graphs. More specifically, MOVIE REVIEWS have been considered and the scrapping reviews of a particular movie after the predicting the sentiment of each review and on that basis, status of the movie review is understood. It is predicted that one can generalize the other applications using the specific content even.
User: tushartotla12
googlecollab,I will be implementing a machine learning model that predicts the fare for a cab ride based on the data collected from previous rides .
User: vapurv843
googlecollab,Kaggle competition, classification image with the basic data set MNIST
User: vitalii36
Home Page: https://www.kaggle.com/pravdychvitalii/mnist
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