Ikhushbu

Automobile_EDA

Automobile EDA - Find insights from given Automobile dataset and also find relationships within data ,features visualize it using python (libraries) and Tableau also apply Machine learning algorithm.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

aws-iot-device-sdk-js

SDK for connecting to AWS IoT from a device using JavaScript/Node.js

Calculator

Data-Science-Projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

NYC_Taxi_Trip_Duration

Develop models predict taxi trip duration in NYC

practicalAI

📚A practical approach to learning machine learning.

Ikhushbu/awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Ikhushbu/aws-iot-device-sdk-js

SDK for connecting to AWS IoT from a device using JavaScript/Node.js

Ikhushbu/cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Ikhushbu/DL4NLP

Deep Learning for NLP resources

Ikhushbu/face_recognition

The world's simplest facial recognition api for Python and the command line

Ikhushbu/hello-world

My project Data

Ikhushbu/NewYorkCity-Taxi-Trip-Duration-Prediction

New York City Taxi Trip Duration Prediction dataset exploration.

Ikhushbu/NYC_Taxi_Trip_Duration

Develop models predict taxi trip duration in NYC

Ikhushbu/pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Ikhushbu/100-Days-Of-ML-Code

100 Days of ML Coding

Ikhushbu/aws-iot-chat-example

💬 Real-time chat application using AWS IoT platform via MQTT over the WebSocket protocol

Ikhushbu/Churn_Analysis_Python_Machine-Learning

The goal of the project is to determine the important reasons of employees churn in a company. The dataset has been taken from Kaggle.com. This dataset has 34 features and a target label 'Attrition' with 1470 instances. This project is using various machine learning models- Naive Bayes, Decision Tree, Random Forest, Knn, SVC, LogisticRegression to predict whether the employee will leave the present company or not in future.

Ikhushbu/deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Ikhushbu/eng-edu

Ikhushbu/fairlearn

Reductions for Fair Machine Learning

Ikhushbu/HR_Employee_Attrition

Predicting employee attrition

Ikhushbu/IBM-HR-Analytics-Employee-Attrition-Performance

The IBM HR Analytics Employee Attrition & Performance dataset from the Kaggle. I have first performed Exploratory Data Analysis on the data using various libraries like pandas,seaborn,matplotlib etc.. Then I have plotted used feature selection techniques like RFE to select the features. The data is then oversampled using the SMOTE technique in order to deal with the imbalanced classes. Also the data is then scaled for better performance. Lastly I have trained many ML models from the scikit-learn library for predictive modelling and compared the performance using Precision, Recall and other metrics.

Ikhushbu/Machine-learning-

ML Docs

Ikhushbu/Machine-Learning-Interview

A List of Machine Learning Interview Questions.

Ikhushbu/Machine-Learning-with-R-datasets

Formatted datasets for Machine Learning With R by Brett Lantz

Ikhushbu/matplotlib

matplotlib: plotting with Python

Ikhushbu/ml-on-gcp

Machine Learning on Google Cloud Platform

Ikhushbu/nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

Ikhushbu/Play-with-Machine-Learning-Algorithms

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

Ikhushbu/python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

Ikhushbu/R-Net-1

Tensorflow Implementation of R-Net

Ikhushbu/tensorflow

An Open Source Machine Learning Framework for Everyone

Ikhushbu/tensorforce

TensorForce: A TensorFlow library for applied reinforcement learning

Ikhushbu/visual-recognition-with-coreml

🕶 Classify images offline using Watson Visual Recognition and Core ML.

Ikhushbu/workshops

A few exercises for use at events.