temajozias
Full-featured Data Analyst with the ALX-T/Udacity Nanodegree Data Analyst scholarship
Yaounde, Cameroon
temajozias's Stars
ShishirPatil/gorilla
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
ibis-project/ibis
the portable Python dataframe library
functime-org/functime
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
scrollmapper/bible_databases
Bible versions and cross-reference databases.
afizs/python-notes
TRoboto/datacamp-downloader
Download your completed courses on Datacamp easily!
kutoga/yapsl
Yet another python sms library
qalhata/Python-Scripts-Repo-on-Data-Science
Data Science, Visualisations, and Machine Learning Cookbook
Datascientist88/Art_Of-_Data_Visualization_Project_two
Datascientist88/Dash_Dashboard_COVID19_NO_ONE
temajozias/UNDP-Accelerator-Labs-Network
UNDP Accelerator Labs Network Help us to showcase the value of grassroots innovation! We need easy to understand, yet powerful visualizations of the energy solutions we discovered that help us advocate for a more sustainable future. Be bold and creative. More at https://www.vizforsocialgood.com/join-a-project/2022/9/15/undp-accelerator-labs-network
temajozias/Udacity-DataAnalystND-P1-Investigate-a-Dataset
Udacity-DataAnalystND-P1-Investigate-a-Dataset TMDb movie data This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue. In this project, I will analyze a dataset and then communicate findings about it. I will use the Python libraries NumPy, pandas, and Matplotlib.
temajozias/Udacity-DataAnalystND-P2-Wrangle-and-Analyze-Data
Udacity-DataAnalystND-P2-Wrangle-and-Analyze-Data The dataset that you will be wrangling (and analyzing and visualizing) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs.
temajozias/Udacity-DataAnalystND-P3-Communicate-Data-Findings
Udacity-DataAnalystND-P3-Communicate-Data-Findings Choose a dataset, either your own or a Udacity-curated dataset, and perform an exploratory data analysis using Python. Then, create a presentation with explanatory plots that conveys your findings.