rkildea1

afinn

AFINN sentiment analysis in Python

ai_units

auto-algorithm-selector

Auto-run several algorithms & param's on the same problem and highlight best performers

auto-tuning-classifiers

Using scikit-learn, Loop through predefined hyperparameters and fit the estimator (model) on the training set

bi-and-tri-gram-builder

Create bigrams and trigrams from a block of text without using any third party modules

comp_vision_rock_paper_scissors

A game which uses the device camera to play rock-paper-scissors against the computer.

daft_ie_scraper

Selenium scraper for Daft.ie written for Docker & writes to postgres. Uses GH Actions to deploy a fresh image to EC2

pinterest_exp_pipeline

Emulates Pinterests streaming and batch ETL pipeline for user uploads to the platform

Regression-modelling

Predicting cost with regression: Ridge Linear Lasso and Elastic net learners applied

Support-Vector-Machine-StdAlc_Gender

Applying an SVM using scikit-learn in Python

rkildea1/afinn

AFINN sentiment analysis in Python

rkildea1/ai_units

rkildea1/auto-algorithm-selector

Auto-run several algorithms & param's on the same problem and highlight best performers

rkildea1/auto-tuning-classifiers

Using scikit-learn, Loop through predefined hyperparameters and fit the estimator (model) on the training set

rkildea1/bi-and-tri-gram-builder

Create bigrams and trigrams from a block of text without using any third party modules

rkildea1/comp_vision_rock_paper_scissors

A game which uses the device camera to play rock-paper-scissors against the computer.

rkildea1/daft_ie_scraper

Selenium scraper for Daft.ie written for Docker & writes to postgres. Uses GH Actions to deploy a fresh image to EC2

rkildea1/pinterest_exp_pipeline

Emulates Pinterests streaming and batch ETL pipeline for user uploads to the platform

rkildea1/Regression-modelling

Predicting cost with regression: Ridge Linear Lasso and Elastic net learners applied

rkildea1/Support-Vector-Machine-StdAlc_Gender

Applying an SVM using scikit-learn in Python

rkildea1/bmi_calc

Challenge: build a BMI calculator

rkildea1/Chunking_regression_station_data

Playing around with the Ghcnd-stations data and python(approx 4gb)

rkildea1/decision-tree-learner

scikit-learn decision tree learner

rkildea1/demo_csv_stream

rkildea1/emotion-detection-from-text

Experiments on building a machine learnt model for classifying text data into a chosen set of seven basic emotions.

rkildea1/emotion_labelling

rkildea1/feature-encoding

Some Feature Encoding processes

rkildea1/github-exporter

:octocat: Prometheus exporter for github metrics

rkildea1/hadoop_bin_fork

winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows

rkildea1/hmt

rkildea1/Linkedin-Post-Scraper

Scrapes post data from company pages

rkildea1/nlp-text-emotion

Multi-class sentiment analysis lstm, finetuned bert

rkildea1/seaborn-visualisations

Some basic visual plotting in SeaBorn

rkildea1/text2emotion-library

rkildea1/Tokenised_Conditional_Probability_Calculator

A function that uses what you have done already to calculate the conditional probability of a word given the preceding word

rkildea1/tokeniser-no-modules

CHALLENGE: Create a bag of words with no libraries. Using the novel, Moby Dick

rkildea1/unify-emotion-datasets

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

rkildea1/vaderSentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

rkildea1/vscode-add-new-line-to-files

An extension for Visual Studio Code to add new lines to files on save

rkildea1/web_crawler

Web Crawler for IMDB