Top repositories
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R-programming-Exercises-Practice-Solution
The best way we learn anything is by practice and exercise questions. These exercises help you to improve your R programming coding skillsJupyter Notebook
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Traffic-Sign-Detection-Using-Yolov5
YOLOv5 is the latest version of YOLO family of object detection models. It's the first YOLO implementation in PyTorch (rather than Darknet) and emphasizes ease of use and quickness of training and inference.Jupyter Notebook
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Modeling-Earthquake-Damage
Richter's Predictor: Modeling Earthquake Damage - Based on aspects of building location and construction, predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal.The data mainly consists of information on the buildings' structure and their legal ownership. Each row in the dataset represents a specific building in the region that was hit by Gorkha earthquake.Jupyter Notebook
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EfficientNetV2-Pytorch
EfficientNetV2: Smaller Models and Faster Training. PyTorch Implementation of EfficientNetV2 FamilyJupyter Notebook
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Analysis-of-Energy-Power-Consumption-IoT-Analytics
To perform an in-depth analysis of the power consumption dataset and the client would like to know if insights can be found in the sub-metered energy consumption data set that could be used as an incentive to potential home buyers that may be interested in โsmart homeโ technology.R
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Traffic-sign-detection-using-detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.Detectron2 is Facebook AI Research's next generation library that provides state-of-the-art detection and segmentation algorithmsJupyter Notebook
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MYSQL-for-Data-Analytics-and-Business-Intelligence
SQL for Business Analysis , Marketing, and Data Management
TSQL
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Financial-Perfomance-Analysis-
Financial Analysis with Python using Financial Modelling Prep's APIJupyter Notebook
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Sentimental-analysis-using-Common-Crawl-data-AWS-
Using the cloud computing platform provided by AWS , collect and develop a data matrix in the range of 20 thousand instances of relevant web documents from the Common Crawl and create a model to predict Sentiment analysis between iPhone and Samsung Galaxy.Jupyter Notebook
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Sales-Prediction
To predict the sales in four different product types while assessing the effects service and customer reviews have on sales.R
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Traffic-Sign-Classification-Keras
Traffic signs(GTSRB) classification with a convolutional network (keras and python)Jupyter Notebook
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Java-Programming-and-Software-Engineering-Fundamentals
Solutions for Java Programming specialisation course by Duke University on Coursera.Java
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COVID-19-Open-Research-Dataset-
COVID-19 Open Research Dataset Challenge (CORD-19) - KaggleJupyter Notebook
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Python-Youtube-API
Create an API key and Connect to the YouTube API using PythonJupyter Notebook
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3D-Point-Cloud-segmenttion-and-classification
Point Cloud Segmentation and classificationJupyter Notebook
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Geographical-Plotting-Using-Python
Python for Data Visulaization (Geographical Plotting using plotly)Jupyter Notebook
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WIFI-Locatioining-IoT-Analytics
Evaluating the application of machine learning techniques to the problem of indoor locationing via wifi fingerprinting.Jupyter Notebook
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Deep-learning_Neural-Networks
My solutions for Deep learning specialisation course by Andrew Ng on Coursera.Jupyter Notebook
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R-Programming
Based on the R tutorial from PieriandataJupyter Notebook
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Machine-Learning-using-Python
Based on tutorials from the python course here I find all necessary documents to learn from or use it for future goals.Jupyter Notebook
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Practice-Python
Python Excercises - This repository contains examples of Python programming NumPy, GeoPy, Pandas,nltk etcJupyter Notebook
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Brazilian-E-Commerce-Public-Dataset-by-Olist
This is a Brazilian ecommerce public dataset of orders made at Olist Store(Kaggle)
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Market-Basket-Analysis
Blackwell Electronics' board of directors is considering acquiring Electronidex, a start-up electronics online retailer. CTO has asked to perform a market basket analysis to help Blackwell's board of directors to better understand the clientele that Electronidex is currently serving (customer buying patterns, profitability, customer preferences and relations over certain products) and if Electronidex would be an optimal acquisition.R
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