Discover JaxSulav/Cleaning-data-with-Pandas-Python3- Open Source

Stars
5
Rank 2,861,937 (Top 57 %)
Language
Jupyter Notebook
Created about 6 years ago
Updated about 6 years ago

JaxSulav

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Before working on any dataset, cleaning the dataset is crucial and takes most of the time. The dataset can contain many missing values which can be filled with various standard techniques. We can always refer to Matthew Brems slides linked alongside to know about those standards.

nn_cpp

Implementation of artificial neural network in C++. In this project, a cuztomizable neural network architecture is built from scratch and the model is trained, utilizing the backpropagation algorithm.

C++

PriceProphet

Detection of product prices on an e-commerce website to help sellers determine the perfect price for their used, open box, new or old products.

Jupyter Notebook

Object-Detection-v2

Training a dataset on faster_rcnn_inception_v2_coco as implementation of a tensorflow model for multiple object detection purpose. The labeled dataset of about 300 images were fetched and trained using faster_rcnn_inception_v2_coco model through a pretty decent GPU (local machine) i.e Nvidia GTX 1050.

Python

TensorFlow-Object-Detection

Use of ssd_mobilenet_v1_coco as implementation of a tensorflow model for multiple object detection purpose. The satndard COCO trained dataset is taken and implemented to detect and put a bounding box around the obect showing the name of what the machine is trained to think it is.

Python