Total words: 2275 | 2-word phrases: 605 | 3-word phrases: 645 | 4-word phrases: 656
Title | Try to keep the title under 60 characters (10 characters) Teja Surya |
Description | Try to keep the meta description between 50 - 160 characters (0 characters) |
Keywords | Meta keywords are not recommended anymore (0 characters) |
H1 | H1 tag on the page (10 characters) Teja Surya |
# | Keyword | H1 | Title | Des | Volume | Position | Suggest | Frequency | Density |
---|---|---|---|---|---|---|---|---|---|
1 | and | 24 | 6.50% | ||||||
2 | of | 16 | 4.34% | ||||||
3 | the | 15 | 4.07% | ||||||
4 | data | 15 | 4.07% | ||||||
5 | to | 15 | 4.07% | ||||||
6 | a | 11 | 2.98% | ||||||
7 | my | 11 | 2.98% | ||||||
8 | using | 8 | 2.17% | ||||||
9 | for | 8 | 2.17% | ||||||
10 | i | 8 | 2.17% |
# | URL | Whois | Check |
---|---|---|---|
1 | https://www.linkedin.com/in/tejasurya | Whois | linkedin.com |
2 | https://www.kaggle.com/tejasurya | Whois | kaggle.com |
3 | https://twitter.com/teja_surya | Whois | twitter.com |
4 | https://www.linkedin.com/in/tejasurya | Whois | linkedin.com |
5 | https://www.kaggle.com/work/code | Whois | kaggle.com |
6 | https://www.kaggle.com/work/datasets | Whois | kaggle.com |
7 | https://www.kaggle.com/code/tejasurya/transformers-language-translator-eng-to-spanish | Whois | kaggle.com |
8 | https://www.kaggle.com/code/tejasurya/transformers-language-translator-eng-to-spanish | Whois | kaggle.com |
9 | https://www.kaggle.com/datasets/tejasurya/huge-stock-market-crash-2022 | Whois | kaggle.com |
10 | https://www.kaggle.com/code/tejasurya/wind-power-generation-in-germany | Whois | kaggle.com |
11 | https://www.kaggle.com/code/tejasurya/wind-power-generation-in-germany | Whois | kaggle.com |
12 | https://github.com/tejasurya/Taxi-demand-forecasting-in-New-York-City | Whois | github.com |
13 | https://github.com/tejasurya/Taxi-demand-forecasting-in-New-York-City | Whois | github.com |
14 | https://www.kaggle.com/code/tejasurya/paddy-disease-quickstart-resnet-in-keras | Whois | kaggle.com |
15 | https://www.kaggle.com/code/tejasurya/paddy-disease-quickstart-resnet-in-keras | Whois | kaggle.com |
16 | https://www.kaggle.com/code/tejasurya/unet-from-scratch-segmentation-tumour | Whois | kaggle.com |
17 | https://www.kaggle.com/code/tejasurya/unet-from-scratch-segmentation-tumour | Whois | kaggle.com |
18 | https://www.kaggle.com/datasets/tejasurya/cancer-data-india | Whois | kaggle.com |
19 | https://www.kaggle.com/code/tejasurya/house-price-ensemble-lightgbm-xgb-lasso-ridge | Whois | kaggle.com |
20 | https://www.kaggle.com/code/tejasurya/house-price-ensemble-lightgbm-xgb-lasso-ridge | Whois | kaggle.com |
21 | https://www.kaggle.com/code/tejasurya/thomas-cup-2022-tweets-eda-sentiment | Whois | kaggle.com |
22 | https://www.kaggle.com/code/tejasurya/thomas-cup-2022-tweets-eda-sentiment | Whois | kaggle.com |
23 | https://www.kaggle.com/datasets/tejasurya/thomas-cup-2022-badminton-tweets | Whois | kaggle.com |
24 | https://www.kaggle.com/datasets/tejasurya/latest-elected-uk-prime-minister-rishi-sunak | Whois | kaggle.com |
25 | https://www.kaggle.com/datasets/tejasurya/itc-stock-price-prediction | Whois | kaggle.com |
26 | https://www.kaggle.com/code/tejasurya/basic-eda-on-haberman-survival | Whois | kaggle.com |
27 | https://www.kaggle.com/code/tejasurya/basic-eda-on-haberman-survival | Whois | kaggle.com |
28 | https://www.linkedin.com/in/tejasurya | Whois | linkedin.com |
29 | https://twitter.com/teja_surya_ | Whois | twitter.com |
30 | https://www.kaggle.com/tejasurya | Whois | kaggle.com |