nitinnandeshwar Goto Github PK

followers: 1.0 following: 0.0 repos: 35.0 gists: 0.0

Name: Nitin Nandeshwar

Type: User

Bio: A Passionate Software Engineer in Robotics and Industrial Automation, Machine Vision

Location: Cork Ireland

Blog: https://nitinnandeshwar.com/

Hi there,I'm Nitin!

🔭 I’m currently working on Collaborative Robot Operational Safeguard System and Scalable Ethernet Switch.

🎯 Goal (2022): Contribute openly to Robotics and Indsutrial Automation community.
📌 Scroll down to see my Pinned Repositories.

def Nitin():
  skills_with_proficiency = {'Python': 'Advance','R': 'Advance','SQL': 'Advance', 'Robotics' : 'Advance'
                            'Tableau': 'Intermidiate','Excel': 'Intermidiate' ,'Computer Vision': 'Intermidiate'}
  tools = ['numpy', 'pandas', 'sklearn', 'nltk', 'matplotlib', 'seaborn', 'keras', 'flask', 'Tensorflow']
  cloud_architecture = ['AWS', 'Google']
  active_blogger = True
  return ∞

Connect me on:

Website: https://nitinnandeshwar.com/

Nitin Nandeshwar's Projects

aws-cloud-practitioner-certification-notes

bank-and-financial-services-risk-analysis

Done EDA using Python and Tableau to identify patterns that indicate if a client has difficulty paying their installments which may be used to taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc

beer-recommendation-system

car_prediction

Python

computer-vision-tutorials

cork-institute-of-technology

credit-card-fraud-detection

Performed EDA, Data Pre-processing, Imbalance data and Supervised Machine learning to predict customer transaction is fraud using features such as services that customer has signed up for, customer account information, and demographic information about the customer.

customer-segmentation-clustering-

Applied Clustering algorithm(K-means) for Customer Segmentation, which is partitioning a customer base into groups of individuals with similar characteristics.

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

diabetic-patients-readmission-prediction

To identify the factors that lead to the high readmission rate of diabetic patients within 30 days post-discharge. Also, to identify the medicines that are the most effective in the treatment. (Primary Evaluation Metric: Recall).

drug-prediction-for-patient

Built a model from patients' historical data and their response to different medications. Used the trained decision tree to predict an unknown patient's class or find a proper drug for a new patient.

face_recognition-using-deep-learning-and-opencv

flowers-dataset-convolutional-neural-network-different-application

Explored image dataset and used data augmented technique to enhance the size of images. Further fade date into many custom models and pre-trained models (VGG, Inception, RSNET) to gain accuracy used terminology such as ensemble, transfer learning, and fine-tuning.

forecast-the-employee-s-low-concentration-hours-using-posture-data-acquired-from-sensors

Holt-Winter, ARIMA, SARIMA, Prophet forecasting

in-quiz-questions

Linkedin quiz assessment, answers and questions (aws-lambda, rest-api, javascript, react, git, html, jquery, maven, mongodb, xml, java, css, python ...) ответы на квиз

indian-flight-fare-prediction

Deploy on AWS EC2, Flask, OneHotEncoder, LabelEncoder, Random Forest

iot-analytics-smart-home-energy-forecasting

Applying time series to predict Smart Home energy consumption and demonstrating how data can enable households to save energy (IoT Analytics)

malaria-image-classification

VGG, Transfer Learning, AWS EC2,Flask

motion-controller

PLC Programming