ajinkyat Goto Github PK

followers: 71.0 following: 25.0 repos: 86.0 gists: 15.0

Name: Ajinkya

Type: User

Bio: Machine Learning/AI Engineer, who likes to eat and talk to people.

Location: Tokyo

Blog: ajinkyat.github.io/About%20Me/

Ajinkya's Projects

av_churn

Analytics Vidhya Machine Learning Competition Churn Prediction.

av_student_hunt

2nd place solution for AV student hunt time series forecasting problem statement

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

awesome-r

A curated list of awesome R packages, frameworks and software.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

axisbank_ai_challenge

Forged signature verification using Siamese Convolutional Neural Network, and table extraction from PDF's

btp_ml_in_healthcare

Bachelors Thesis on Machine Learning applications in healthcare domain

civisml-extensions

scikit-learn-compatible estimators from Civis Analytics

cnn_intent_classification

CNN for intent classification task in a Chatbot

coursera-advanced-machine-learning-specialization

Repo for coursera specialization Advanced Machine Learning by Higher School of Economics

coursera_convolutional_neural_network

Programming assignments completed in Coursera's Convolutional Neural Networks course.

coursera_sequence_models

Programming assignments completed in Coursera's Sequence Models course.

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cv_deep_learning_rorodata

Work done during internship at Rorodata. Bio-Medical image diagnosis using Deep learning and Computer Vision.

da5030_final_project

Final Projects for DA5030 Data Mining and Machine Learning. Predict cervical cancer diagnosis based on demographics, behavioral information, and medical records.

dat8

General Assembly's Data Science course in Washington, DC

data-analytics

Repository to hold general information and about the data-analytics competition. The code repository will be open sourced after the competition is over

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-machine-learning-ai-resources

A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.