my_kaggle_study-master
housing_price
train.csv
450KB
result.csv
13KB
.idea
misc.xml
185B
inspectionProfiles
profiles_settings.xml
174B
modules.xml
278B
housing_price.iml
284B
.gitignore
47B
housing_predict.py
7KB
sample_submission.csv
31KB
my_housing_predict.py
3KB
test.csv
441KB
data_description.txt
13KB
.idea
misc.xml
185B
inspectionProfiles
profiles_settings.xml
174B
kaggle.iml
317B
modules.xml
264B
.gitignore
47B
vcs.xml
180B
Medical Cost Personal Datasets
pie_chart_age_cat.html
3.33MB
custom-sized-subplot-with-subplot-titles.html
3.37MB
corr_heatmap.html
3.33MB
medic_predict.py
17KB
my_medic_predict.py
4KB
my_charge_dis_according_smoker.html
3.34MB
temp-plot.html
3.35MB
bmi Distplot.html
3.4MB
patient charge by age cat.html
3.33MB
insurance.csv
53KB
bmi according to age cat and smoker.html
3.34MB
Weight status vs charges.html
3.35MB
bmi_by_cat.html
3.33MB
Melbourne Housing Market
region name count.html
3.33MB
price distribution.html
3.36MB
Melbourne_housing_FULL.csv
4.75MB
price boxgraph.html
3.89MB
longtitude & lattitude.html
4.07MB
my_house_price_distribution.html
3.89MB
my_log_house_price_distribution.html
4.32MB
price distribution according to region.html
3.81MB
MELBOURNE_HOUSE_PRICES_LESS.csv
6.9MB
average price of suburbs of southern metropolitan.html
3.33MB
price distribution after ffill.html
3.36MB
missing value count after preprocessing.html
3.33MB
missing value count.html
3.33MB
correlation heatmap.html
3.33MB
Suburbs of Southern Metropolitan.html
3.33MB
valid-invalid row pie chart.html
3.33MB
my_predict_model.py
5KB
region price.html
3.33MB
california housing price
distribution of different nan fill.html
3.86MB
valid_invalid_pie.html
3.33MB
temp-plot.html
3.33MB
correlation heatmap.html
3.33MB
predit_model.py
3KB
housing.csv
1.36MB
glass classification
glass.csv
10KB
report.docx
80KB
my_glass_predict.py
6KB
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