Correlation | Heatmap | Exploratory data analysis

In this video we will do basic EDA work on House price prediction dataset :
we will cover:
- how to find correlation
- Selecting top correlated features
- plotting correlation heatmap
Statistics Tutorial for data science playlist : th-cam.com/users/playlist?list...
Python Tutorial to learn Python programming for Data Science with examples: bit.ly/2u4zzCz
Reach out to me if you have any questions :
Email: [e-mail]
Linkedin: / utsav-agg. .
Website: www.skilltoai.com

[@prachinainawa3055]

You really deserve much more likes and views. You explained why we made heatmaps and how to analyze them and make meaningful decision. It was a practical teaching, I love it.

[@utsavaggarwal_ds]

Thankyou Prachi, I hope to bring more such informative content to you 😊

[@mehradmortazavi5433]

I hoped we could have access to the codes but thank you for all the videos they are great!

[@navdhaagarwal5862]

Good one...👍

[@amiraaliIsInLove]

Woooooow!! Thank you so much sir!
You made it sound as it was a game ! for the first time in my life I've had fun while learning something..
Please keep posting because we'll keep watching ^_^

[@utsavaggarwal_ds]

Thanks 😊 I'll keep posting

[@sadhana0002]

Hi, is there a video where you explained how to predict the price?

[@abhijeet7256]

hi i am new to this, can you please tell me from where can i learn this type of coding.
thanks

[@dotaswot5870]

What about the negative highly correlated columns?

[@diakhadiop2128]

thank u fam

[@hammadshahzad8994]

Love you

[@hkemal2743]

Could you please share the notebooks?

[@user-zl2pj6rx1z]

hello utsav , i have one doubt
numerical_feature=[feature for feature in raw_data.columns if raw_data[feature].dtypes != 'O']
print('number of numerical variable',len(numerical_feature))
raw_data[numerical_feature]
discrete_feature=[feature for feature in numerical_feature if len(raw_data[feature].unique())

[@timetraveller7513]

Could you please tell me above what percentage in a heatmap is considered multicollinear?

[@utsavaggarwal_ds]

Correlation greater than 0.8

[@timetraveller7513]

@@utsavaggarwal_ds thanks 🙂

[@hkemal2743]

When I write the same, I am getting error instead of heat map. Any idea? Why?
f , ax = plt.subplots(figsize = (14,12))
plt.title('Correlation of Numeric Features with Sale Price',y=1,size=16)
sns.heatmap(correlation,square = True, vmax=0.8)
---------------------------
AttributeError Traceback (most recent call last)
in
----> 1 f , ax = plt.subplots(figsize = (14,12))
2
3 plt.title('Correlation of Numeric Features with Sale Price',y=1,size=16)
4
5 sns.heatmap(correlation,square = True, vmax=0.8)
AttributeError: module 'matplotlib' has no attribute 'subplots'

[@utsavaggarwal_ds]

can u send complete notebook on my email: [e-mail]

[@rajesh5201]

try this
plt.figure(figsize=(10,10))
plt.title("Correlation of Numeric Features with Sale Price")
sns.heatmap(correlation, square=True, vmax=0.8)

[@hkemal2743]

Error again.
k=11
cols = correlation.nlargest(k,'SalePrice')['SalePrice'].index
print(cols)
cm = np.corrcoef(data[cols].values.T)
f , ax = plt.subplots(figsize = (14,12))
sns.heatmap(cm, vmax=.8, linewidths=0.01,square=True,annot=True,cmap='viridis',linecolor="white", xticklabels = cols.values ,annot_kws = {'size':12},yticklabels = cols.values)
----------------------------------
Index(['SalePrice', 'OverallQual', 'GrLivArea', 'GarageCars', 'GarageArea',
'TotalBsmtSF', '1stFlrSF', 'FullBath', 'TotRmsAbvGrd', 'YearBuilt',
'YearRemodAdd'],
dtype='object')
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
in
3 print(cols)
4 cm = np.corrcoef(data[cols].values.T)
----> 5 f , ax = plt.subplots(figsize = (14,12))
6 sns.heatmap(cm, vmax=.8, linewidths=0.01,square=True,annot=True,cmap='viridis',linecolor="white", xticklabels = cols.values ,annot_kws = {'size':12},yticklabels = cols.values)
AttributeError: module 'matplotlib' has no attribute 'subplots'