general_assembly

Course on data science fundamentals, with prework, overview and then ML.

Homework and projects will live here.

I may end up splitting this out into prework and course, or I may just keep it all within this single repo. TBD.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.ipynb_checkpoints		.ipynb_checkpoints
.gitignore		.gitignore
1_seaborn_pair_plot.png		1_seaborn_pair_plot.png
Intermediate Matplotlib.ipynb		Intermediate Matplotlib.ipynb
Plotting with Matlab.ipynb		Plotting with Matlab.ipynb
Plotting with Pandas.ipynb		Plotting with Pandas.ipynb
Plotting with Seaborn.ipynb		Plotting with Seaborn.ipynb
Probability and Bayes.ipynb		Probability and Bayes.ipynb
README.md		README.md
README.txt		README.txt
Stats.ipynb		Stats.ipynb
animals.xlsx		animals.xlsx
colormaps.ipynb		colormaps.ipynb
colormaps.png		colormaps.png
df1.txt		df1.txt
gender_submission.csv		gender_submission.csv
price_data.csv		price_data.csv
t-tests and p-values.ipynb		t-tests and p-values.ipynb
test.csv		test.csv
testfig.jpeg		testfig.jpeg
train.csv		train.csv

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