Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
.ipynb_checkpoints		.ipynb_checkpoints
python-data-analysis		python-data-analysis
1-ytq3WnAg5KywR97gudy5vg.png		1-ytq3WnAg5KywR97gudy5vg.png
Date-Time Example.ipynb		Date-Time Example.ipynb
IPLSlicedData.csv.zip		IPLSlicedData.csv.zip
ML 07 - K means Clustering.ipynb		ML 07 - K means Clustering.ipynb
ML01-Machine Learning Basics , Linear Regression.ipynb		ML01-Machine Learning Basics , Linear Regression.ipynb
ML02-Hyperparameters and Model Validation .ipynb		ML02-Hyperparameters and Model Validation .ipynb
ML03 - Feature Engineering.ipynb		ML03 - Feature Engineering.ipynb
ML04 - Naive Bayes Classification.ipynb		ML04 - Naive Bayes Classification.ipynb
ML05 - Linear Regression.ipynb		ML05 - Linear Regression.ipynb
ML06 - Decision Trees and Random Forests.ipynb		ML06 - Decision Trees and Random Forests.ipynb
MoreStock.csv		MoreStock.csv
New - 11 Vectorized String Operations.ipynb		New - 11 Vectorized String Operations.ipynb
New - 12 eval & query.ipynb		New - 12 eval & query.ipynb
New 10 - Pivot Tables.ipynb		New 10 - Pivot Tables.ipynb
Populationoutput.csv		Populationoutput.csv
README.md		README.md
Ridge_Regression.pdf		Ridge_Regression.pdf
Stock.csv		Stock.csv
TRUEHEADINGs.xlsx		TRUEHEADINGs.xlsx
USBabyBirthDataAnalysis.ipynb		USBabyBirthDataAnalysis.ipynb
USchildDatasetProblems.txt		USchildDatasetProblems.txt
Understanding-Concat-Merge-Join-with-Example.ipynb		Understanding-Concat-Merge-Join-with-Example.ipynb
Untitled.ipynb		Untitled.ipynb
Untitled1.ipynb		Untitled1.ipynb
applicationofNaivebayesalgo.PNG		applicationofNaivebayesalgo.PNG
bias-varaince-tradeoff.PNG		bias-varaince-tradeoff.PNG
births.csv		births.csv
california_cities.csv		california_cities.csv
city.xlsx		city.xlsx
cl_13_14.csv		cl_13_14.csv
class1-Numpy.ipynb		class1-Numpy.ipynb
class10-pandas-pivot_tables.ipynb		class10-pandas-pivot_tables.ipynb
class11 - pandas vectorised string operations.ipynb		class11 - pandas vectorised string operations.ipynb
class11.ipynb		class11.ipynb
class12-Pandas- Eval and Query.ipynb		class12-Pandas- Eval and Query.ipynb
class13-Matplotlib.ipynb		class13-Matplotlib.ipynb
class14 Matplotlib Line Plots.ipynb		class14 Matplotlib Line Plots.ipynb
class15 Scatter Plots.ipynb		class15 Scatter Plots.ipynb
class16-Plotting Standard datasets.ipynb		class16-Plotting Standard datasets.ipynb
class17-Histograms, Binnings, Density.ipynb		class17-Histograms, Binnings, Density.ipynb
class18-Plot Legends.ipynb		class18-Plot Legends.ipynb
class19 - 3D plotting.ipynb		class19 - 3D plotting.ipynb
class2-Numpy.ipynb		class2-Numpy.ipynb
class3-Numpy Aggregations-Min,Max.ipynb		class3-Numpy Aggregations-Min,Max.ipynb
class4- Pandas Introduction.ipynb		class4- Pandas Introduction.ipynb
class5- pandas-indexing and selecting.ipynb		class5- pandas-indexing and selecting.ipynb
class6- Pandas - Boolean Indexing.ipynb		class6- Pandas - Boolean Indexing.ipynb
class7 - Pandas - Grouping, Merging & Reshaping Data.ipynb		class7 - Pandas - Grouping, Merging & Reshaping Data.ipynb
class8- Pandas - Append.ipynb		class8- Pandas - Append.ipynb
class9 - Missing Data, Time Series.ipynb		class9 - Missing Data, Time Series.ipynb
desktop.ini		desktop.ini
fin.csv		fin.csv
goal_stats_euro_leagues_2012-13.csv		goal_stats_euro_leagues_2012-13.csv
k-means-clustering.PNG		k-means-clustering.PNG
output.csv		output.csv
practice.ipynb		practice.ipynb
problem-matplotlib.ipynb		problem-matplotlib.ipynb
tips.txt		tips.txt

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